numam-dpdk/test/test/test_meter.c

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/* SPDX-License-Identifier: BSD-3-Clause
* Copyright(c) 2010-2014 Intel Corporation
*/
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <stdint.h>
#include <unistd.h>
#include "test.h"
#include <rte_cycles.h>
#include <rte_meter.h>
#define mlog(format, ...) do{\
printf("Line %d:",__LINE__);\
printf(format, ##__VA_ARGS__);\
printf("\n");\
}while(0);
#define melog(format, ...) do{\
printf("Line %d:",__LINE__);\
printf(format, ##__VA_ARGS__);\
printf(" failed!\n");\
return -1;\
}while(0);
#define TM_TEST_SRTCM_CIR_DF 46000000
#define TM_TEST_SRTCM_CBS_DF 2048
#define TM_TEST_SRTCM_EBS_DF 4096
#define TM_TEST_TRTCM_CIR_DF 46000000
#define TM_TEST_TRTCM_PIR_DF 69000000
#define TM_TEST_TRTCM_CBS_DF 2048
#define TM_TEST_TRTCM_PBS_DF 4096
static struct rte_meter_srtcm_params sparams =
{.cir = TM_TEST_SRTCM_CIR_DF,
.cbs = TM_TEST_SRTCM_CBS_DF,
.ebs = TM_TEST_SRTCM_EBS_DF,};
static struct rte_meter_trtcm_params tparams=
{.cir = TM_TEST_TRTCM_CIR_DF,
.pir = TM_TEST_TRTCM_PIR_DF,
.cbs = TM_TEST_TRTCM_CBS_DF,
.pbs = TM_TEST_TRTCM_PBS_DF,};
/**
* functional test for rte_meter_srtcm_config
*/
static inline int
tm_test_srtcm_config(void)
{
#define SRTCM_CFG_MSG "srtcm_config"
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
struct rte_meter_srtcm_profile sp;
struct rte_meter_srtcm_params sparams1;
/* invalid parameter test */
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_profile_config(NULL, NULL) == 0)
melog(SRTCM_CFG_MSG);
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_profile_config(&sp, NULL) == 0)
melog(SRTCM_CFG_MSG);
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_profile_config(NULL, &sparams) == 0)
melog(SRTCM_CFG_MSG);
/* cbs and ebs can't both be zero */
sparams1 = sparams;
sparams1.cbs = 0;
sparams1.ebs = 0;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_profile_config(&sp, &sparams1) == 0)
melog(SRTCM_CFG_MSG);
/* cir should never be 0 */
sparams1 = sparams;
sparams1.cir = 0;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_profile_config(&sp, &sparams1) == 0)
melog(SRTCM_CFG_MSG);
/* one of ebs and cbs can be zero, should be successful */
sparams1 = sparams;
sparams1.ebs = 0;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_profile_config(&sp, &sparams1) != 0)
melog(SRTCM_CFG_MSG);
sparams1 = sparams;
sparams1.cbs = 0;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_profile_config(&sp, &sparams1) != 0)
melog(SRTCM_CFG_MSG);
/* usual parameter, should be successful */
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_profile_config(&sp, &sparams) != 0)
melog(SRTCM_CFG_MSG);
return 0;
}
/**
* functional test for rte_meter_trtcm_config
*/
static inline int
tm_test_trtcm_config(void)
{
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
struct rte_meter_trtcm_profile tp;
struct rte_meter_trtcm_params tparams1;
#define TRTCM_CFG_MSG "trtcm_config"
/* invalid parameter test */
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_profile_config(NULL, NULL) == 0)
melog(TRTCM_CFG_MSG);
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_profile_config(&tp, NULL) == 0)
melog(TRTCM_CFG_MSG);
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_profile_config(NULL, &tparams) == 0)
melog(TRTCM_CFG_MSG);
/* cir, cbs, pir and pbs never be zero */
tparams1 = tparams;
tparams1.cir = 0;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_profile_config(&tp, &tparams1) == 0)
melog(TRTCM_CFG_MSG);
tparams1 = tparams;
tparams1.cbs = 0;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_profile_config(&tp, &tparams1) == 0)
melog(TRTCM_CFG_MSG);
tparams1 = tparams;
tparams1.pbs = 0;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_profile_config(&tp, &tparams1) == 0)
melog(TRTCM_CFG_MSG);
tparams1 = tparams;
tparams1.pir = 0;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_profile_config(&tp, &tparams1) == 0)
melog(TRTCM_CFG_MSG);
/* pir should be greater or equal to cir */
tparams1 = tparams;
tparams1.pir = tparams1.cir - 1;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_profile_config(&tp, &tparams1) == 0)
melog(TRTCM_CFG_MSG" pir < cir test");
/* usual parameter, should be successful */
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_profile_config(&tp, &tparams) != 0)
melog(TRTCM_CFG_MSG);
return 0;
}
/**
* functional test for rte_meter_srtcm_color_blind_check
*/
static inline int
tm_test_srtcm_color_blind_check(void)
{
#define SRTCM_BLIND_CHECK_MSG "srtcm_blind_check"
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
struct rte_meter_srtcm_profile sp;
struct rte_meter_srtcm sm;
uint64_t time;
uint64_t hz = rte_get_tsc_hz();
/* Test green */
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_profile_config(&sp, &sparams) != 0)
melog(SRTCM_BLIND_CHECK_MSG);
if (rte_meter_srtcm_config(&sm, &sp) != 0)
melog(SRTCM_BLIND_CHECK_MSG);
time = rte_get_tsc_cycles() + hz;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_color_blind_check(
&sm, &sp, time, TM_TEST_SRTCM_CBS_DF - 1)
!= e_RTE_METER_GREEN)
melog(SRTCM_BLIND_CHECK_MSG" GREEN");
/* Test yellow */
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_profile_config(&sp, &sparams) != 0)
melog(SRTCM_BLIND_CHECK_MSG);
if (rte_meter_srtcm_config(&sm, &sp) != 0)
melog(SRTCM_BLIND_CHECK_MSG);
time = rte_get_tsc_cycles() + hz;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_color_blind_check(
&sm, &sp, time, TM_TEST_SRTCM_CBS_DF + 1)
!= e_RTE_METER_YELLOW)
melog(SRTCM_BLIND_CHECK_MSG" YELLOW");
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_profile_config(&sp, &sparams) != 0)
melog(SRTCM_BLIND_CHECK_MSG);
if (rte_meter_srtcm_config(&sm, &sp) != 0)
melog(SRTCM_BLIND_CHECK_MSG);
time = rte_get_tsc_cycles() + hz;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_color_blind_check(
&sm, &sp, time, (uint32_t)sp.ebs - 1) != e_RTE_METER_YELLOW)
melog(SRTCM_BLIND_CHECK_MSG" YELLOW");
/* Test red */
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_profile_config(&sp, &sparams) != 0)
melog(SRTCM_BLIND_CHECK_MSG);
if (rte_meter_srtcm_config(&sm, &sp) != 0)
melog(SRTCM_BLIND_CHECK_MSG);
time = rte_get_tsc_cycles() + hz;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_color_blind_check(
&sm, &sp, time, TM_TEST_SRTCM_EBS_DF + 1)
!= e_RTE_METER_RED)
melog(SRTCM_BLIND_CHECK_MSG" RED");
return 0;
}
/**
* functional test for rte_meter_trtcm_color_blind_check
*/
static inline int
tm_test_trtcm_color_blind_check(void)
{
#define TRTCM_BLIND_CHECK_MSG "trtcm_blind_check"
uint64_t time;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
struct rte_meter_trtcm_profile tp;
struct rte_meter_trtcm tm;
uint64_t hz = rte_get_tsc_hz();
/* Test green */
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_profile_config(&tp, &tparams) != 0)
melog(TRTCM_BLIND_CHECK_MSG);
if (rte_meter_trtcm_config(&tm, &tp) != 0)
melog(TRTCM_BLIND_CHECK_MSG);
time = rte_get_tsc_cycles() + hz;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_color_blind_check(
&tm, &tp, time, TM_TEST_TRTCM_CBS_DF - 1)
!= e_RTE_METER_GREEN)
melog(TRTCM_BLIND_CHECK_MSG" GREEN");
/* Test yellow */
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_profile_config(&tp, &tparams) != 0)
melog(TRTCM_BLIND_CHECK_MSG);
if (rte_meter_trtcm_config(&tm, &tp) != 0)
melog(TRTCM_BLIND_CHECK_MSG);
time = rte_get_tsc_cycles() + hz;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_color_blind_check(
&tm, &tp, time, TM_TEST_TRTCM_CBS_DF + 1)
!= e_RTE_METER_YELLOW)
melog(TRTCM_BLIND_CHECK_MSG" YELLOW");
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_profile_config(&tp, &tparams) != 0)
melog(TRTCM_BLIND_CHECK_MSG);
if (rte_meter_trtcm_config(&tm, &tp) != 0)
melog(TRTCM_BLIND_CHECK_MSG);
time = rte_get_tsc_cycles() + hz;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_color_blind_check(
&tm, &tp, time, TM_TEST_TRTCM_PBS_DF - 1)
!= e_RTE_METER_YELLOW)
melog(TRTCM_BLIND_CHECK_MSG" YELLOW");
/* Test red */
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_profile_config(&tp, &tparams) != 0)
melog(TRTCM_BLIND_CHECK_MSG);
if (rte_meter_trtcm_config(&tm, &tp) != 0)
melog(TRTCM_BLIND_CHECK_MSG);
time = rte_get_tsc_cycles() + hz;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_color_blind_check(
&tm, &tp, time, TM_TEST_TRTCM_PBS_DF + 1)
!= e_RTE_METER_RED)
melog(TRTCM_BLIND_CHECK_MSG" RED");
return 0;
}
/**
* @in[4] : the flags packets carries.
* @in[4] : the flags function expect to return.
* It will do blind check at the time of 1 second from beginning.
* At the time, it will use packets length of cbs -1, cbs + 1,
* ebs -1 and ebs +1 with flag in[0], in[1], in[2] and in[3] to do
* aware check, expect flag out[0], out[1], out[2] and out[3]
*/
static inline int
tm_test_srtcm_aware_check
(enum rte_meter_color in[4], enum rte_meter_color out[4])
{
#define SRTCM_AWARE_CHECK_MSG "srtcm_aware_check"
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
struct rte_meter_srtcm_profile sp;
struct rte_meter_srtcm sm;
uint64_t time;
uint64_t hz = rte_get_tsc_hz();
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_profile_config(&sp, &sparams) != 0)
melog(SRTCM_AWARE_CHECK_MSG);
if (rte_meter_srtcm_config(&sm, &sp) != 0)
melog(SRTCM_AWARE_CHECK_MSG);
time = rte_get_tsc_cycles() + hz;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_color_aware_check(
&sm, &sp, time, TM_TEST_SRTCM_CBS_DF - 1, in[0]) != out[0])
melog(SRTCM_AWARE_CHECK_MSG" %u:%u", in[0], out[0]);
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_profile_config(&sp, &sparams) != 0)
melog(SRTCM_AWARE_CHECK_MSG);
if (rte_meter_srtcm_config(&sm, &sp) != 0)
melog(SRTCM_AWARE_CHECK_MSG);
time = rte_get_tsc_cycles() + hz;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_color_aware_check(
&sm, &sp, time, TM_TEST_SRTCM_CBS_DF + 1, in[1]) != out[1])
melog(SRTCM_AWARE_CHECK_MSG" %u:%u", in[1], out[1]);
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_profile_config(&sp, &sparams) != 0)
melog(SRTCM_AWARE_CHECK_MSG);
if (rte_meter_srtcm_config(&sm, &sp) != 0)
melog(SRTCM_AWARE_CHECK_MSG);
time = rte_get_tsc_cycles() + hz;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_color_aware_check(
&sm, &sp, time, TM_TEST_SRTCM_EBS_DF - 1, in[2]) != out[2])
melog(SRTCM_AWARE_CHECK_MSG" %u:%u", in[2], out[2]);
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_profile_config(&sp, &sparams) != 0)
melog(SRTCM_AWARE_CHECK_MSG);
if (rte_meter_srtcm_config(&sm, &sp) != 0)
melog(SRTCM_AWARE_CHECK_MSG);
time = rte_get_tsc_cycles() + hz;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_srtcm_color_aware_check(
&sm, &sp, time, TM_TEST_SRTCM_EBS_DF + 1, in[3]) != out[3])
melog(SRTCM_AWARE_CHECK_MSG" %u:%u", in[3], out[3]);
return 0;
}
/**
* functional test for rte_meter_srtcm_color_aware_check
*/
static inline int
tm_test_srtcm_color_aware_check(void)
{
enum rte_meter_color in[4], out[4];
/**
* test 4 points that will produce green, yellow, yellow, red flag
* if using blind check
*/
/* previouly have a green, test points should keep unchanged */
in[0] = in[1] = in[2] = in[3] = e_RTE_METER_GREEN;
out[0] = e_RTE_METER_GREEN;
out[1] = e_RTE_METER_YELLOW;
out[2] = e_RTE_METER_YELLOW;
out[3] = e_RTE_METER_RED;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (tm_test_srtcm_aware_check(in, out) != 0)
return -1;
/**
* previously have a yellow, green & yellow = yellow
* yellow & red = red
*/
in[0] = in[1] = in[2] = in[3] = e_RTE_METER_YELLOW;
out[0] = e_RTE_METER_YELLOW;
out[1] = e_RTE_METER_YELLOW;
out[2] = e_RTE_METER_YELLOW;
out[3] = e_RTE_METER_RED;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (tm_test_srtcm_aware_check(in, out) != 0)
return -1;
/**
* previously have a red, red & green = red
* red & yellow = red
*/
in[0] = in[1] = in[2] = in[3] = e_RTE_METER_RED;
out[0] = e_RTE_METER_RED;
out[1] = e_RTE_METER_RED;
out[2] = e_RTE_METER_RED;
out[3] = e_RTE_METER_RED;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (tm_test_srtcm_aware_check(in, out) != 0)
return -1;
return 0;
}
/**
* @in[4] : the flags packets carries.
* @in[4] : the flags function expect to return.
* It will do blind check at the time of 1 second from beginning.
* At the time, it will use packets length of cbs -1, cbs + 1,
* ebs -1 and ebs +1 with flag in[0], in[1], in[2] and in[3] to do
* aware check, expect flag out[0], out[1], out[2] and out[3]
*/
static inline int
tm_test_trtcm_aware_check
(enum rte_meter_color in[4], enum rte_meter_color out[4])
{
#define TRTCM_AWARE_CHECK_MSG "trtcm_aware_check"
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
struct rte_meter_trtcm_profile tp;
struct rte_meter_trtcm tm;
uint64_t time;
uint64_t hz = rte_get_tsc_hz();
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_profile_config(&tp, &tparams) != 0)
melog(TRTCM_AWARE_CHECK_MSG);
if (rte_meter_trtcm_config(&tm, &tp) != 0)
melog(TRTCM_AWARE_CHECK_MSG);
time = rte_get_tsc_cycles() + hz;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_color_aware_check(
&tm, &tp, time, TM_TEST_TRTCM_CBS_DF - 1, in[0]) != out[0])
melog(TRTCM_AWARE_CHECK_MSG" %u:%u", in[0], out[0]);
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_profile_config(&tp, &tparams) != 0)
melog(TRTCM_AWARE_CHECK_MSG);
if (rte_meter_trtcm_config(&tm, &tp) != 0)
melog(TRTCM_AWARE_CHECK_MSG);
time = rte_get_tsc_cycles() + hz;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_color_aware_check(
&tm, &tp, time, TM_TEST_TRTCM_CBS_DF + 1, in[1]) != out[1])
melog(TRTCM_AWARE_CHECK_MSG" %u:%u", in[1], out[1]);
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_profile_config(&tp, &tparams) != 0)
melog(TRTCM_AWARE_CHECK_MSG);
if (rte_meter_trtcm_config(&tm, &tp) != 0)
melog(TRTCM_AWARE_CHECK_MSG);
time = rte_get_tsc_cycles() + hz;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_color_aware_check(
&tm, &tp, time, TM_TEST_TRTCM_PBS_DF - 1, in[2]) != out[2])
melog(TRTCM_AWARE_CHECK_MSG" %u:%u", in[2], out[2]);
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_profile_config(&tp, &tparams) != 0)
melog(TRTCM_AWARE_CHECK_MSG);
if (rte_meter_trtcm_config(&tm, &tp) != 0)
melog(TRTCM_AWARE_CHECK_MSG);
time = rte_get_tsc_cycles() + hz;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (rte_meter_trtcm_color_aware_check(
&tm, &tp, time, TM_TEST_TRTCM_PBS_DF + 1, in[3]) != out[3])
melog(TRTCM_AWARE_CHECK_MSG" %u:%u", in[3], out[3]);
return 0;
}
/**
* functional test for rte_meter_trtcm_color_aware_check
*/
static inline int
tm_test_trtcm_color_aware_check(void)
{
enum rte_meter_color in[4], out[4];
/**
* test 4 points that will produce green, yellow, yellow, red flag
* if using blind check
*/
/* previouly have a green, test points should keep unchanged */
in[0] = in[1] = in[2] = in[3] = e_RTE_METER_GREEN;
out[0] = e_RTE_METER_GREEN;
out[1] = e_RTE_METER_YELLOW;
out[2] = e_RTE_METER_YELLOW;
out[3] = e_RTE_METER_RED;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (tm_test_trtcm_aware_check(in, out) != 0)
return -1;
in[0] = in[1] = in[2] = in[3] = e_RTE_METER_YELLOW;
out[0] = e_RTE_METER_YELLOW;
out[1] = e_RTE_METER_YELLOW;
out[2] = e_RTE_METER_YELLOW;
out[3] = e_RTE_METER_RED;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (tm_test_trtcm_aware_check(in, out) != 0)
return -1;
in[0] = in[1] = in[2] = in[3] = e_RTE_METER_RED;
out[0] = e_RTE_METER_RED;
out[1] = e_RTE_METER_RED;
out[2] = e_RTE_METER_RED;
out[3] = e_RTE_METER_RED;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (tm_test_trtcm_aware_check(in, out) != 0)
return -1;
return 0;
}
/**
* test main entrance for library meter
*/
static int
test_meter(void)
{
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (tm_test_srtcm_config() != 0)
return -1;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (tm_test_trtcm_config() != 0)
return -1;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (tm_test_srtcm_color_blind_check() != 0)
return -1;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (tm_test_trtcm_color_blind_check() != 0)
return -1;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (tm_test_srtcm_color_aware_check() != 0)
return -1;
meter: add configuration profile This patch adds support for meter configuration profiles. Benefits: simplified configuration procedure, improved performance. Q1: What is the configuration profile and why does it make sense? A1: The configuration profile represents the set of configuration parameters for a given meter object, such as the rates and sizes for the token buckets. The configuration profile concept makes sense when many meter objects share the same configuration, which is the typical usage model: thousands of traffic flows are each individually metered according to just a few service levels (i.e. profiles). Q2: How is the configuration profile improving the performance? A2: The performance improvement is achieved by reducing the memory footprint of a meter object, which results in better cache utilization for the typical case when large arrays of meter objects are used. The internal data structures stored for each meter object contain: a) Constant fields: Low level translation of the configuration parameters that does not change post-configuration. This is really duplicated for all meters that use the same configuration. This is the configuration profile data that is moved away from the meter object. Current size (implementation dependent): srTCM = 32 bytes, trTCM = 32 bytes. b) Variable fields: Time stamps and running counters that change during the on-going traffic metering process. Current size (implementation dependent): srTCM = 24 bytes, trTCM = 32 bytes. Therefore, by moving the constant fields to a separate profile data structure shared by all the meters with the same configuration, the size of the meter object is reduced by ~50%. Signed-off-by: Cristian Dumitrescu <cristian.dumitrescu@intel.com> Signed-off-by: Jasvinder Singh <jasvinder.singh@intel.com>
2018-01-08 15:43:56 +00:00
if (tm_test_trtcm_color_aware_check() != 0)
return -1;
return 0;
}
REGISTER_TEST_COMMAND(meter_autotest, test_meter);