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diff --git a/docs/content/methodology/packet_latency.md b/docs/content/methodology/packet_latency.md new file mode 100644 index 0000000000..9d1cdd6f99 --- /dev/null +++ b/docs/content/methodology/packet_latency.md @@ -0,0 +1,46 @@ +--- +bookToc: false +title: "Packet Latency" +weight: 8 +--- + +# Packet Latency + +TRex Traffic Generator (TG) is used for measuring one-way latency in +2-Node and 3-Node physical testbed topologies. TRex integrates +[High Dynamic Range Histogram (HDRH)](http://hdrhistogram.org/) +functionality and reports per packet latency distribution for latency +streams sent in parallel to the main load packet streams. + +Following methodology is used: + +- Only NDRPDR test type measures latency and only after NDR and PDR + values are determined. Other test types do not involve latency + streams. +- Latency is measured at different background load packet rates: + + - No-Load: latency streams only. + - Low-Load: at 10% PDR. + - Mid-Load: at 50% PDR. + - High-Load: at 90% PDR. + +- Latency is measured for all tested packet sizes except IMIX due to + TRex TG restriction. +- TG sends dedicated latency streams, one per direction, each at the + rate of 9 kpps at the prescribed packet size; these are sent in + addition to the main load streams. +- TG reports Min/Avg/Max and HDRH latency values distribution per stream + direction, hence two sets of latency values are reported per test case + (marked as E-W and W-E). +- +/- 1 usec is the measurement accuracy of TRex TG and the data in HDRH + latency values distribution is rounded to microseconds. +- TRex TG introduces a (background) always-on Tx + Rx latency bias of 4 + usec on average per direction resulting from TRex software writing and + reading packet timestamps on CPU cores. Quoted values are based on TG + back-to-back latency measurements. +- Latency graphs are not smoothed, each latency value has its own + horizontal line across corresponding packet percentiles. +- Percentiles are shown on X-axis using a logarithmic scale, so the + maximal latency value (ending at 100% percentile) would be in + infinity. The graphs are cut at 99.9999% (hover information still + lists 100%).
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