numam-dpdk/examples/qos_meter/main.h

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/* SPDX-License-Identifier: BSD-3-Clause
* Copyright(c) 2010-2014 Intel Corporation
*/
#ifndef _MAIN_H_
#define _MAIN_H_
enum policer_action {
GREEN = RTE_COLOR_GREEN,
YELLOW = RTE_COLOR_YELLOW,
RED = RTE_COLOR_RED,
DROP = 3,
};
/* Policy implemented as a static structure. 8< */
enum policer_action policer_table[RTE_COLORS][RTE_COLORS] =
{
{ GREEN, RED, RED},
{ DROP, YELLOW, RED},
{ DROP, DROP, RED}
};
/* >8 End of policy implemented as a static structure. */
#if APP_MODE == APP_MODE_FWD
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
#define FUNC_METER(m, p, time, pkt_len, pkt_color) \
({ \
void *mp = m; \
void *pp = p; \
mp = mp; \
pp = pp; \
time = time; \
pkt_len = pkt_len; \
pkt_color; \
})
#define FUNC_CONFIG(a, b) 0
#define FLOW_METER int
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
#define PROFILE app_srtcm_profile
#elif APP_MODE == APP_MODE_SRTCM_COLOR_BLIND
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
#define FUNC_METER(m, p, time, pkt_len, pkt_color) \
rte_meter_srtcm_color_blind_check(m, p, time, pkt_len)
#define FUNC_CONFIG rte_meter_srtcm_config
#define FLOW_METER struct rte_meter_srtcm
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
#define PROFILE app_srtcm_profile
#elif (APP_MODE == APP_MODE_SRTCM_COLOR_AWARE)
#define FUNC_METER rte_meter_srtcm_color_aware_check
#define FUNC_CONFIG rte_meter_srtcm_config
#define FLOW_METER struct rte_meter_srtcm
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
#define PROFILE app_srtcm_profile
#elif (APP_MODE == APP_MODE_TRTCM_COLOR_BLIND)
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
#define FUNC_METER(m, p, time, pkt_len, pkt_color) \
rte_meter_trtcm_color_blind_check(m, p, time, pkt_len)
#define FUNC_CONFIG rte_meter_trtcm_config
#define FLOW_METER struct rte_meter_trtcm
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
#define PROFILE app_trtcm_profile
#elif (APP_MODE == APP_MODE_TRTCM_COLOR_AWARE)
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
#define FUNC_METER rte_meter_trtcm_color_aware_check
#define FUNC_CONFIG rte_meter_trtcm_config
#define FLOW_METER struct rte_meter_trtcm
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
#define PROFILE app_trtcm_profile
#else
#error Invalid value for APP_MODE
#endif
#endif /* _MAIN_H_ */