Multiple Loss Rate search (MLRsearch) tests use new search algorithm implemented in FD.io CSIT project. MLRsearch discovers multiple packet throughput rates in a single search, with each rate associated with a different Packet Loss Ratio (PLR) criteria.
Two throughput measurements used in FD.io CSIT are Non-Drop Rate (NDR, with zero packet loss, PLR=0) and Partial Drop Rate (PDR, with packet loss rate not greater than the configured non-zero PLR).
MLRsearch discovers NDR and PDR in a single pass reducing required time duration compared to separate binary searches for NDR and PDR. Overall search time is reduced even further by relying on shorter trial durations of intermediate steps, with only the final measurements conducted at the specified final trial duration. This results in the shorter overall execution time when compared to standard NDR/PDR binary search, while guaranteeing similar results.
If needed, MLRsearch can be easily adopted to discover more throughput rates with different pre-defined PLRs.
All throughput rates are always bi-directional aggregates of two equal (symmetric) uni-directional packet rates received and reported by an external traffic generator.
Detailed description of the MLRsearch algorithm is included in the IETF draft draft-vpolak-mkonstan-mlrsearch that is in the process of being standardized in the IETF Benchmarking Methodology Working Group (BMWG).
MLRsearch is also available as a PyPI (Python Package Index) library.
FD.io CSIT implementation of MLRsearch so far is fully based on the -01 version of the draft-vpolak-mkonstan-mlrsearch-01.