C-Docs: New structure

Change-Id: I73d107f94b28b138f3350a9e1eedb0555583a9ca
Signed-off-by: Tibor Frank <tifrank@cisco.com>

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diff --git a/docs/content/methodology/packet_latency.md b/docs/content/methodology/packet_latency.md
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----
-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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