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diff --git a/docs/ietf/draft-ietf-bmwg-mlrsearch-00.md b/docs/ietf/draft-ietf-bmwg-mlrsearch-00.md deleted file mode 100644 index 05bc41f0fa..0000000000 --- a/docs/ietf/draft-ietf-bmwg-mlrsearch-00.md +++ /dev/null @@ -1,556 +0,0 @@ ---- -title: Multiple Loss Ratio Search for Packet Throughput (MLRsearch) -# abbrev: MLRsearch -docname: draft-ietf-bmwg-mlrsearch-00 -date: 2021-02-05 - -ipr: trust200902 -area: ops -wg: Benchmarking Working Group -kw: Internet-Draft -cat: info - -coding: us-ascii -pi: # can use array (if all yes) or hash here -# - toc -# - sortrefs -# - symrefs - toc: yes - sortrefs: # defaults to yes - symrefs: yes - -author: - - - ins: M. Konstantynowicz - name: Maciek Konstantynowicz - org: Cisco Systems - role: editor - email: mkonstan@cisco.com - - - ins: V. Polak - name: Vratko Polak - org: Cisco Systems - role: editor - email: vrpolak@cisco.com - -normative: - RFC2544: - RFC8174: - -informative: - FDio-CSIT-MLRsearch: - target: https://docs.fd.io/csit/rls2001/report/introduction/methodology_data_plane_throughput/methodology_mlrsearch_tests.html - title: "FD.io CSIT Test Methodology - MLRsearch" - date: 2020-02 - PyPI-MLRsearch: - target: https://pypi.org/project/MLRsearch/0.3.0/ - title: "MLRsearch 0.3.0, Python Package Index" - date: 2020-02 - ---- abstract - -This document proposes changes to [RFC2544], specifically to packet -throughput search methodology, by defining a new search algorithm -referred to as Multiple Loss Ratio search (MLRsearch for short). Instead -of relying on binary search with pre-set starting offered load, it -proposes a novel approach discovering the starting point in the initial -phase, and then searching for packet throughput based on defined packet -loss ratio (PLR) input criteria and defined final trial duration time. -One of the key design principles behind MLRsearch is minimizing the -total test duration and searching for multiple packet throughput rates -(each with a corresponding PLR) concurrently, instead of doing it -sequentially. - -The main motivation behind MLRsearch is the new set of challenges and -requirements posed by NFV (Network Function Virtualization), -specifically software based implementations of NFV data planes. Using -[RFC2544] in the experience of the authors yields often not repetitive -and not replicable end results due to a large number of factors that are -out of scope for this draft. MLRsearch aims to address this challenge -in a simple way of getting the same result sooner, so more repetitions -can be done to describe the replicability. - ---- middle - -# Terminology - -* Frame size: size of an Ethernet Layer-2 frame on the wire, including - any VLAN tags (dot1q, dot1ad) and Ethernet FCS, but excluding Ethernet - preamble and inter-frame gap. Measured in bytes. -* Packet size: same as frame size, both terms used interchangeably. -* Device Under Test (DUT): In software networking, "device" denotes a - specific piece of software tasked with packet processing. Such device - is surrounded with other software components (such as operating system - kernel). It is not possible to run devices without also running the - other components, and hardware resources are shared between both. For - purposes of testing, the whole set of hardware and software components - is called "system under test" (SUT). As SUT is the part of the whole - test setup performance of which can be measured by [RFC2544] methods, - this document uses SUT instead of [RFC2544] DUT. Device under test - (DUT) can be re-introduced when analysing test results using whitebox - techniques, but this document sticks to blackbox testing. -* System Under Test (SUT): System under test (SUT) is a part of the - whole test setup whose performance is to be benchmarked. The complete - test setup contains other parts, whose performance is either already - established, or not affecting the benchmarking result. -* Bi-directional throughput tests: involve packets/frames flowing in - both transmit and receive directions over every tested interface of - SUT/DUT. Packet flow metrics are measured per direction, and can be - reported as aggregate for both directions and/or separately - for each measured direction. In most cases bi-directional tests - use the same (symmetric) load in both directions. -* Uni-directional throughput tests: involve packets/frames flowing in - only one direction, i.e. either transmit or receive direction, over - every tested interface of SUT/DUT. Packet flow metrics are measured - and are reported for measured direction. -* Packet Loss Ratio (PLR): ratio of packets received relative to packets - transmitted over the test trial duration, calculated using formula: - PLR = ( pkts_transmitted - pkts_received ) / pkts_transmitted. - For bi-directional throughput tests aggregate PLR is calculated based - on the aggregate number of packets transmitted and received. -* Packet Throughput Rate: maximum packet offered load DUT/SUT forwards - within the specified Packet Loss Ratio (PLR). In many cases the rate - depends on the frame size processed by DUT/SUT. Hence packet - throughput rate MUST be quoted with specific frame size as received by - DUT/SUT during the measurement. For bi-directional tests, packet - throughput rate should be reported as aggregate for both directions. - Measured in packets-per-second (pps) or frames-per-second (fps), - equivalent metrics. -* Bandwidth Throughput Rate: a secondary metric calculated from packet - throughput rate using formula: bw_rate = pkt_rate * (frame_size + - L1_overhead) * 8, where L1_overhead for Ethernet includes preamble (8 - Bytes) and inter-frame gap (12 Bytes). For bi-directional tests, - bandwidth throughput rate should be reported as aggregate for both - directions. Expressed in bits-per-second (bps). -* Non Drop Rate (NDR): maximum packet/bandwith throughput rate sustained - by DUT/SUT at PLR equal zero (zero packet loss) specific to tested - frame size(s). MUST be quoted with specific packet size as received by - DUT/SUT during the measurement. Packet NDR measured in - packets-per-second (or fps), bandwidth NDR expressed in - bits-per-second (bps). -* Partial Drop Rate (PDR): maximum packet/bandwith throughput rate - sustained by DUT/SUT at PLR greater than zero (non-zero packet loss) - specific to tested frame size(s). MUST be quoted with specific packet - size as received by DUT/SUT during the measurement. Packet PDR - measured in packets-per-second (or fps), bandwidth PDR expressed in - bits-per-second (bps). -* Maximum Receive Rate (MRR): packet/bandwidth rate regardless of PLR - sustained by DUT/SUT under specified Maximum Transmit Rate (MTR) - packet load offered by traffic generator. MUST be quoted with both - specific packet size and MTR as received by DUT/SUT during the - measurement. Packet MRR measured in packets-per-second (or fps), - bandwidth MRR expressed in bits-per-second (bps). -* Trial: a single measurement step. See [RFC2544] section 23. -* Trial duration: amount of time over which packets are transmitted - in a single measurement step. - -# MLRsearch Background - -Multiple Loss Ratio search (MLRsearch) is a packet throughput search -algorithm suitable for deterministic systems (as opposed to -probabilistic systems). MLRsearch discovers multiple packet throughput -rates in a single search, with each rate associated with a distinct -Packet Loss Ratio (PLR) criteria. - -For cases when multiple rates need to be found, this property makes -MLRsearch more efficient in terms of time execution, compared to -traditional throughput search algorithms that discover a single packet -rate per defined search criteria (e.g. a binary search specified by -[RFC2544]). MLRsearch reduces execution time 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 search execution time when compared to a -traditional binary search, while guaranteeing the same results for -deterministic systems. - -In practice two rates with distinct PLRs are commonly used for packet -throughput measurements of NFV systems: Non Drop Rate (NDR) with PLR=0 -and Partial Drop Rate (PDR) with PLR>0. The rest of this document -describes MLRsearch for NDR and PDR. If needed, MLRsearch can be -adapted to discover more throughput rates with different pre-defined -PLRs. - -Similarly to other throughput search approaches like binary search, -MLRsearch is effective for SUTs/DUTs with PLR curve that is continuously -flat or increasing with growing offered load. It may not be as -effective for SUTs/DUTs with abnormal PLR curves. - -MLRsearch relies on traffic generator to qualify the received packet -stream as error-free, and invalidate the results if any disqualifying -errors are present e.g. out-of-sequence frames. - -MLRsearch can be applied to both uni-directional and bi-directional -throughput tests. - -For bi-directional tests, MLRsearch rates and ratios are aggregates of -both directions, based on the following assumptions: - -* Traffic transmitted by traffic generator and received by SUT/DUT - has the same packet rate in each direction, - in other words the offered load is symmetric. -* SUT/DUT packet processing capacity is the same in both directions, - resulting in the same packet loss under load. - -# MLRsearch Overview - -The main properties of MLRsearch: - -* MLRsearch is a duration aware multi-phase multi-rate search algorithm: - * Initial Phase determines promising starting interval for the search. - * Intermediate Phases progress towards defined final search criteria. - * Final Phase executes measurements according to the final search - criteria. - * Final search criteria are defined by following inputs: - * PLRs associated with NDR and PDR. - * Final trial duration. - * Measurement resolution. -* Initial Phase: - * Measure MRR over initial trial duration. - * Measured MRR is used as an input to the first intermediate phase. -* Multiple Intermediate Phases: - * Trial duration: - * Start with initial trial duration in the first intermediate phase. - * Converge geometrically towards the final trial duration. - * Track two values for NDR and two for PDR: - * The values are called lower_bound and upper_bound. - * Each value comes from a specific trial measurement: - * Most recent for that transmit rate. - * As such the value is associated with that measurement's duration - and loss. - * A bound can be valid or invalid: - * Valid lower_bound must conform with PLR search criteria. - * Valid upper_bound must not conform with PLR search criteria. - * Example of invalid NDR lower_bound is if it has been measured - with non-zero loss. - * Invalid bounds are not real boundaries for the searched value: - * They are needed to track interval widths. - * Valid bounds are real boundaries for the searched value. - * Each non-initial phase ends with all bounds valid. - * Bound can become invalid if it re-measured at a longer trial - duration in a sub-sequent phase. - * Search: - * Start with a large (lower_bound, upper_bound) interval width, that - determines measurement resolution. - * Geometrically converge towards the width goal of the phase. - * Each phase halves the previous width goal. - * First measurement of the next phase will be internal search - which always gives a valid bound and brings the width to the new goal. - * Only one bound then needs to be re-measured with new duration. - * Use of internal and external searches: - * External search: - * Measures at transmit rates outside the (lower_bound, - upper_bound) interval. - * Activated when a bound is invalid, to search for a new valid - bound by multiplying (for example doubling) the interval width. - * It is a variant of "exponential search". - * Internal search: - * A "binary search" that measures at transmit rates within the - (lower_bound, upper_bound) valid interval, halving the interval - width. -* Final Phase: - * Executed with the final test trial duration, and the final width - goal that determines resolution of the overall search. -* Intermediate Phases together with the Final Phase are called - Non-Initial Phases. - -The main benefits of MLRsearch vs. binary search include: - -* In general MLRsearch is likely to execute more trials overall, but - likely less trials at a set final trial duration. -* In well behaving cases, e.g. when results do not depend on trial - duration, it greatly reduces (>50%) the overall duration compared to a - single PDR (or NDR) binary search over duration, while finding - multiple drop rates. -* In all cases MLRsearch yields the same or similar results to binary - search. -* Note: both binary search and MLRsearch are susceptible to reporting - non-repeatable results across multiple runs for very bad behaving - cases. - -Caveats: - -* Worst case MLRsearch can take longer than a binary search e.g. in case of - drastic changes in behaviour for trials at varying durations. - -# Sample Implementation - -Following is a brief description of a sample MLRsearch implementation, -which is a simlified version of the existing implementation. - -## Input Parameters - -1. **maximum_transmit_rate** - Maximum Transmit Rate (MTR) of packets to - be used by external traffic generator implementing MLRsearch, - limited by the actual Ethernet link(s) rate, NIC model or traffic - generator capabilities. -2. **minimum_transmit_rate** - minimum packet transmit rate to be used for - measurements. MLRsearch fails if lower transmit rate needs to be - used to meet search criteria. -3. **final_trial_duration** - required trial duration for final rate - measurements. -4. **initial_trial_duration** - trial duration for initial MLRsearch phase. -5. **final_relative_width** - required measurement resolution expressed as - (lower_bound, upper_bound) interval width relative to upper_bound. -6. **packet_loss_ratio** - maximum acceptable PLR search criterion for - PDR measurements. -7. **number_of_intermediate_phases** - number of phases between the initial - phase and the final phase. Impacts the overall MLRsearch duration. - Less phases are required for well behaving cases, more phases - may be needed to reduce the overall search duration for worse behaving cases. - -## Initial Phase - -1. First trial measures at configured maximum transmit rate (MTR) and - discovers maximum receive rate (MRR). - * IN: trial_duration = initial_trial_duration. - * IN: offered_transmit_rate = maximum_transmit_rate. - * DO: single trial. - * OUT: measured loss ratio. - * OUT: MRR = measured receive rate. - If loss ratio is zero, MRR is set below MTR so that interval width is equal - to the width goal of the first intermediate phase. -2. Second trial measures at MRR and discovers MRR2. - * IN: trial_duration = initial_trial_duration. - * IN: offered_transmit_rate = MRR. - * DO: single trial. - * OUT: measured loss ratio. - * OUT: MRR2 = measured receive rate. - If loss ratio is zero, MRR2 is set above MRR so that interval width is equal - to the width goal of the first intermediate phase. - MRR2 could end up being equal to MTR (for example if both measurements so far - had zero loss), which was already measured, step 3 is skipped in that case. -3. Third trial measures at MRR2. - * IN: trial_duration = initial_trial_duration. - * IN: offered_transmit_rate = MRR2. - * DO: single trial. - * OUT: measured loss ratio. - -## Non-Initial Phases - -1. Main loop: - 1. IN: trial_duration for the current phase. Set to - initial_trial_duration for the first intermediate phase; to - final_trial_duration for the final phase; or to the element of - interpolating geometric sequence for other intermediate phases. - For example with two intermediate phases, trial_duration of the - second intermediate phase is the geometric average of - initial_trial_duration and final_trial_duration. - 2. IN: relative_width_goal for the current phase. Set to - final_relative_width for the final phase; doubled for each - preceding phase. For example with two intermediate phases, the - first intermediate phase uses quadruple of final_relative_width - and the second intermediate phase uses double of - final_relative_width. - 3. IN: ndr_interval, pdr_interval from the previous main loop - iteration or the previous phase. If the previous phase is the - initial phase, both intervals are formed by a (correctly ordered) - pair of MRR2 and MRR. Note that the initial phase is likely - to create intervals with invalid bounds. - 4. DO: According to the procedure described in point 2., either exit - the phase (by jumping to 1.7.), or calculate new transmit rate to - measure with. - 5. DO: Perform the trial measurement at the new transmit rate and - trial_duration, compute its loss ratio. - 6. DO: Update the bounds of both intervals, based on the new - measurement. The actual update rules are numerous, as NDR external - search can affect PDR interval and vice versa, but the result - agrees with rules of both internal and external search. For - example, any new measurement below an invalid lower_bound becomes - the new lower_bound, while the old measurement (previously acting - as the invalid lower_bound) becomes a new and valid upper_bound. - Go to next iteration (1.3.), taking the updated intervals as new - input. - 7. OUT: current ndr_interval and pdr_interval. In the final phase - this is also considered to be the result of the whole search. For - other phases, the next phase loop is started with the current - results as an input. -2. New transmit rate (or exit) calculation (for point 1.4.): - 1. If there is an invalid bound then prepare for external search: - * IF the most recent measurement at NDR lower_bound transmit - rate had the loss higher than zero, then the new transmit rate - is NDR lower_bound decreased by two NDR interval widths. - * Else, IF the most recent measurement at PDR lower_bound - transmit rate had the loss higher than PLR, then the new - transmit rate is PDR lower_bound decreased by two PDR interval - widths. - * Else, IF the most recent measurement at NDR upper_bound - transmit rate had no loss, then the new transmit rate is NDR - upper_bound increased by two NDR interval widths. - * Else, IF the most recent measurement at PDR upper_bound - transmit rate had the loss lower or equal to PLR, then the new - transmit rate is PDR upper_bound increased by two PDR interval - widths. - 2. Else, if interval width is higher than the current phase goal: - * IF NDR interval does not meet the current phase width - goal, prepare for internal search. The new transmit rate is a - in the middle of NDR lower_bound and NDR upper_bound. - * IF PDR interval does not meet the current phase width - goal, prepare for internal search. The new transmit rate is a - in the middle of PDR lower_bound and PDR upper_bound. - 3. Else, if some bound has still only been measured at a lower - duration, prepare to re-measure at the current duration (and the - same transmit rate). The order of priorities is: - * NDR lower_bound, - * PDR lower_bound, - * NDR upper_bound, - * PDR upper_bound. - 4. Else, do not prepare any new rate, to exit the phase. - This ensures that at the end of each non-initial phase - all intervals are valid, narrow enough, and measured - at current phase trial duration. - -# FD.io CSIT Implementation - -The only known working implementation of MLRsearch is in -the open-source code running in Linux Foundation -FD.io CSIT project [FDio-CSIT-MLRsearch] as part of -a Continuous Integration / Continuous Development (CI/CD) framework. - -MLRsearch is also available as a Python package in [PyPI-MLRsearch]. - -## Additional details - -This document so far has been describing a simplified version of -MLRsearch algorithm. The full algorithm as implemented in CSIT contains -additional logic, which makes some of the details (but not general -ideas) above incorrect. Here is a short description of the additional -logic as a list of principles, explaining their main differences from -(or additions to) the simplified description, but without detailing -their mutual interaction. - -1. Logarithmic transmit rate. - * In order to better fit the relative width goal, the interval - doubling and halving is done differently. - * For example, the middle of 2 and 8 is 4, not 5. -2. Optimistic maximum rate. - * The increased rate is never higher than the maximum rate. - * Upper bound at that rate is always considered valid. -3. Pessimistic minimum rate. - * The decreased rate is never lower than the minimum rate. - * If a lower bound at that rate is invalid, a phase stops refining - the interval further (until it gets re-measured). -4. Conservative interval updates. - * Measurements above the current upper bound never update a valid upper - bound, even if drop ratio is low. - * Measurements below the current lower bound always update any lower - bound if drop ratio is high. -5. Ensure sufficient interval width. - * Narrow intervals make external search take more time to find a - valid bound. - * If the new transmit increased or decreased rate would result in - width less than the current goal, increase/decrease more. - * This can happen if the measurement for the other interval - makes the current interval too narrow. - * Similarly, take care the measurements in the initial phase create - wide enough interval. -6. Timeout for bad cases. - * The worst case for MLRsearch is when each phase converges to - intervals way different than the results of the previous phase. - * Rather than suffer total search time several times larger than pure - binary search, the implemented tests fail themselves when the - search takes too long (given by argument *timeout*). -7. Pessimistic external search. - * Valid bound becoming invalid on re-measurement with higher duration - is frequently a sign of SUT behaving in non-deterministic way - (from blackbox point of view). If the final width interval goal - is too narrow compared to width of rate region where SUT - is non-deterministic, it is quite likely that there will be multiple - invalid bounds before the external search finds a valid one. - * In this case, external search can be sped up by increasing interval width - more rapidly. As only powers of two ensure the subsequent internal search - will not result in needlessly narrow interval, a parameter *doublings* - is introduced to control the pessimism of external search. - For example three doublings result in interval width being multiplied - by eight in each external search iteration. - -### FD.io CSIT Input Parameters - -1. **maximum_transmit_rate** - Typical values: 2 * 14.88 Mpps for 64B - 10GE link rate, 2 * 18.75 Mpps for 64B 40GE NIC (specific model). -2. **minimum_transmit_rate** - Value: 2 * 10 kpps (traffic generator - limitation). -3. **final_trial_duration** - Value: 30 seconds. -4. **initial_trial_duration** - Value: 1 second. -5. **final_relative_width** - Value: 0.005 (0.5%). -6. **packet_loss_ratio** - Value: 0.005 (0.5%). -7. **number_of_intermediate_phases** - Value: 2. - The value has been chosen based on limited experimentation to date. - More experimentation needed to arrive to clearer guidelines. -8. **timeout** - Limit for the overall search duration (for one search). - If MLRsearch oversteps this limit, it immediatelly declares the test failed, - to avoid wasting even more time on a misbehaving SUT. - Value: 600 (seconds). -9. **doublings** - Number of dublings when computing new interval width - in external search. - Value: 2 (interval width is quadroupled). - Value of 1 is best for well-behaved SUTs, but value of 2 has been found - to decrease overall search time for worse-behaved SUT configurations, - contributing more to the overall set of different SUT configurations tested. - -## Example MLRsearch Run - -The following table shows data from a real test run in CSIT -(using the default input values as above). -The first column is the phase, the second is the trial measurement performed -(aggregate bidirectional offered load in megapackets per second, -and trial duration in seconds). -Each of last four columns show one bound as updated after the measurement -(duration truncated to save space). -Loss ratio is not shown, but invalid bounds are marked with a plus sign. - -| Phase | Trial | NDR lower | NDR upper | PDR lower | PDR upper | -| ----: | ---------: | --------: | --------: | --------: | --------: | -| init. | 37.50 1.00 | N/A | 37.50 1. | N/A | 37.50 1. | -| init. | 10.55 1.00 | +10.55 1. | 37.50 1. | +10.55 1. | 37.50 1. | -| init. | 9.437 1.00 | +9.437 1. | 10.55 1. | +9.437 1. | 10.55 1. | -| int 1 | 6.053 1.00 | 6.053 1. | 9.437 1. | 6.053 1. | 9.437 1. | -| int 1 | 7.558 1.00 | 7.558 1. | 9.437 1. | 7.558 1. | 9.437 1. | -| int 1 | 8.446 1.00 | 8.446 1. | 9.437 1. | 8.446 1. | 9.437 1. | -| int 1 | 8.928 1.00 | 8.928 1. | 9.437 1. | 8.928 1. | 9.437 1. | -| int 1 | 9.179 1.00 | 8.928 1. | 9.179 1. | 9.179 1. | 9.437 1. | -| int 1 | 9.052 1.00 | 9.052 1. | 9.179 1. | 9.179 1. | 9.437 1. | -| int 1 | 9.307 1.00 | 9.052 1. | 9.179 1. | 9.179 1. | 9.307 1. | -| int 2 | 9.115 5.48 | 9.115 5. | 9.179 1. | 9.179 1. | 9.307 1. | -| int 2 | 9.243 5.48 | 9.115 5. | 9.179 1. | 9.243 5. | 9.307 1. | -| int 2 | 9.179 5.48 | 9.115 5. | 9.179 5. | 9.243 5. | 9.307 1. | -| int 2 | 9.307 5.48 | 9.115 5. | 9.179 5. | 9.243 5. | +9.307 5. | -| int 2 | 9.687 5.48 | 9.115 5. | 9.179 5. | 9.307 5. | 9.687 5. | -| int 2 | 9.495 5.48 | 9.115 5. | 9.179 5. | 9.307 5. | 9.495 5. | -| int 2 | 9.401 5.48 | 9.115 5. | 9.179 5. | 9.307 5. | 9.401 5. | -| final | 9.147 30.0 | 9.115 5. | 9.147 30 | 9.307 5. | 9.401 5. | -| final | 9.354 30.0 | 9.115 5. | 9.147 30 | 9.307 5. | 9.354 30 | -| final | 9.115 30.0 | +9.115 30 | 9.147 30 | 9.307 5. | 9.354 30 | -| final | 8.935 30.0 | 8.935 30 | 9.115 30 | 9.307 5. | 9.354 30 | -| final | 9.025 30.0 | 9.025 30 | 9.115 30 | 9.307 5. | 9.354 30 | -| final | 9.070 30.0 | 9.070 30 | 9.115 30 | 9.307 5. | 9.354 30 | -| final | 9.307 30.0 | 9.070 30 | 9.115 30 | 9.307 30 | 9.354 30 | - -# IANA Considerations - -No requests of IANA. - -# Security Considerations - -Benchmarking activities as described in this memo are limited to -technology characterization of a DUT/SUT using controlled stimuli in a -laboratory environment, with dedicated address space and the constraints -specified in the sections above. - -The benchmarking network topology will be an independent test setup and -MUST NOT be connected to devices that may forward the test traffic into -a production network or misroute traffic to the test management network. - -Further, benchmarking is performed on a "black-box" basis, relying -solely on measurements observable external to the DUT/SUT. - -Special capabilities SHOULD NOT exist in the DUT/SUT specifically for -benchmarking purposes. Any implications for network security arising -from the DUT/SUT SHOULD be identical in the lab and in production -networks. - -# Acknowledgements - -Many thanks to Alec Hothan of OPNFV NFVbench project for thorough -review and numerous useful comments and suggestions. - ---- back diff --git a/docs/ietf/draft-ietf-bmwg-mlrsearch-01.md b/docs/ietf/draft-ietf-bmwg-mlrsearch-01.md new file mode 100644 index 0000000000..f904722478 --- /dev/null +++ b/docs/ietf/draft-ietf-bmwg-mlrsearch-01.md @@ -0,0 +1,685 @@ +--- +title: Multiple Loss Ratio Search for Packet Throughput (MLRsearch) +# abbrev: MLRsearch +docname: draft-ietf-bmwg-mlrsearch-01 +date: 2021-07-12 + +ipr: trust200902 +area: ops +wg: Benchmarking Working Group +kw: Internet-Draft +cat: info + +coding: us-ascii +pi: # can use array (if all yes) or hash here +# - toc +# - sortrefs +# - symrefs + toc: yes + sortrefs: # defaults to yes + symrefs: yes + +author: + - + ins: M. Konstantynowicz + name: Maciek Konstantynowicz + org: Cisco Systems + role: editor + email: mkonstan@cisco.com + - + ins: V. Polak + name: Vratko Polak + org: Cisco Systems + role: editor + email: vrpolak@cisco.com + +normative: + RFC2544: + +informative: + FDio-CSIT-MLRsearch: + target: https://docs.fd.io/csit/rls2101/report/introduction/methodology_data_plane_throughput/methodology_mlrsearch_tests.html + title: "FD.io CSIT Test Methodology - MLRsearch" + date: 2021-02 + PyPI-MLRsearch: + target: https://pypi.org/project/MLRsearch/0.4.0/ + title: "MLRsearch 0.4.0, Python Package Index" + date: 2021-04 + +--- abstract + +This document proposes changes to [RFC2544], specifically to packet +throughput search methodology, by defining a new search algorithm +referred to as Multiple Loss Ratio search (MLRsearch for short). Instead +of relying on binary search with pre-set starting offered load, it +proposes a novel approach discovering the starting point in the initial +phase, and then searching for packet throughput based on defined packet +loss ratio (PLR) input criteria and defined final trial duration time. +One of the key design principles behind MLRsearch is minimizing the +total test duration and searching for multiple packet throughput rates +(each with a corresponding PLR) concurrently, instead of doing it +sequentially. + +The main motivation behind MLRsearch is the new set of challenges and +requirements posed by NFV (Network Function Virtualization), +specifically software based implementations of NFV data planes. Using +[RFC2544] in the experience of the authors yields often not repetitive +and not replicable end results due to a large number of factors that are +out of scope for this draft. MLRsearch aims to address this challenge +in a simple way of getting the same result sooner, so more repetitions +can be done to describe the replicability. + +--- middle + +# Terminology + +* Frame size: size of an Ethernet Layer-2 frame on the wire, including + any VLAN tags (dot1q, dot1ad) and Ethernet FCS, but excluding Ethernet + preamble and inter-frame gap. Measured in bytes (octets). +* Packet size: same as frame size, both terms used interchangeably. +* Device Under Test (DUT): In software networking, "device" denotes a + specific piece of software tasked with packet processing. Such device + is surrounded with other software components (such as operating system + kernel). It is not possible to run devices without also running the + other components, and hardware resources are shared between both. For + purposes of testing, the whole set of hardware and software components + is called "system under test" (SUT). As SUT is the part of the whole + test setup performance of which can be measured by [RFC2544] methods, + this document uses SUT instead of [RFC2544] DUT. Device under test + (DUT) can be re-introduced when analysing test results using whitebox + techniques, but this document sticks to blackbox testing. +* System Under Test (SUT): System under test (SUT) is a part of the + whole test setup whose performance is to be benchmarked. The complete + test setup contains other parts, whose performance is either already + established, or not affecting the benchmarking result. +* Bi-directional throughput tests: involve packets/frames flowing in + both transmit and receive directions over every tested interface of + SUT/DUT. Packet flow metrics are measured per direction, and can be + reported as aggregate for both directions and/or separately + for each measured direction. In most cases bi-directional tests + use the same (symmetric) load in both directions. +* Uni-directional throughput tests: involve packets/frames flowing in + only one direction, i.e. either transmit or receive direction, over + every tested interface of SUT/DUT. Packet flow metrics are measured + and are reported for measured direction. +* Packet Loss Ratio (PLR): ratio of packets received relative to packets + transmitted over the test trial duration, calculated using formula: + PLR = ( pkts_transmitted - pkts_received ) / pkts_transmitted. + For bi-directional throughput tests aggregate PLR is calculated based + on the aggregate number of packets transmitted and received. +* Effective loss ratio: A corrected value of measured packet loss ratio + chosen to avoid difficulties if SUT exhibits decreasing loss + with increasing load. Maximum of packet loss ratios measured at the same + duration on all loads smaller than (and including) the current one. +* Target loss ratio: A packet loss ratio value acting as an imput for search. + The search is finding tight enough lower and upper bound in intended load, + so that the lower bound has smaller or equal loss ratio, and upper bound + has strictly larger loss ratio. For the tighterst upper bound, + the effective loss ratio is the same as packet loss ratio. + For the tightest lower bound, the effective loss ratio can be higher + than the packet loss ratio, but still not larger than the target loss ratio. +* Packet Throughput Rate: maximum packet offered load DUT/SUT forwards + within the specified Packet Loss Ratio (PLR). In many cases the rate + depends on the frame size processed by DUT/SUT. Hence packet + throughput rate MUST be quoted with specific frame size as received by + DUT/SUT during the measurement. For bi-directional tests, packet + throughput rate should be reported as aggregate for both directions. + Measured in packets-per-second (pps) or frames-per-second (fps), + equivalent metrics. +* Bandwidth Throughput Rate: a secondary metric calculated from packet + throughput rate using formula: bw_rate = pkt_rate * (frame_size + + L1_overhead) * 8, where L1_overhead for Ethernet includes preamble (8 + octets) and inter-frame gap (12 octets). For bi-directional tests, + bandwidth throughput rate should be reported as aggregate for both + directions. Expressed in bits-per-second (bps). +* Non Drop Rate (NDR): maximum packet/bandwith throughput rate sustained + by DUT/SUT at PLR equal zero (zero packet loss) specific to tested + frame size(s). MUST be quoted with specific packet size as received by + DUT/SUT during the measurement. Packet NDR measured in + packets-per-second (or fps), bandwidth NDR expressed in + bits-per-second (bps). +* Partial Drop Rate (PDR): maximum packet/bandwith throughput rate + sustained by DUT/SUT at PLR greater than zero (non-zero packet loss) + specific to tested frame size(s). MUST be quoted with specific packet + size as received by DUT/SUT during the measurement. Packet PDR + measured in packets-per-second (or fps), bandwidth PDR expressed in + bits-per-second (bps). +* Maximum Receive Rate (MRR): packet/bandwidth rate regardless of PLR + sustained by DUT/SUT under specified Maximum Transmit Rate (MTR) + packet load offered by traffic generator. MUST be quoted with both + specific packet size and MTR as received by DUT/SUT during the + measurement. Packet MRR measured in packets-per-second (or fps), + bandwidth MRR expressed in bits-per-second (bps). +* Trial: a single measurement step. See [RFC2544] section 23. +* Trial duration: amount of time over which packets are transmitted + in a single measurement step. + +# MLRsearch Background + +Multiple Loss Ratio search (MLRsearch) is a packet throughput search +algorithm suitable for deterministic systems (as opposed to +probabilistic systems). MLRsearch discovers multiple packet throughput +rates in a single search, each rate is associated with a distinct +Packet Loss Ratio (PLR) criterion. + +For cases when multiple rates need to be found, this property makes +MLRsearch more efficient in terms of time execution, compared to +traditional throughput search algorithms that discover a single packet +rate per defined search criteria (e.g. a binary search specified by +[RFC2544]). MLRsearch reduces execution time 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 search execution time when compared to a +traditional binary search, while guaranteeing the same results for +deterministic systems. + +In practice two rates with distinct PLRs are commonly used for packet +throughput measurements of NFV systems: Non Drop Rate (NDR) with PLR=0 +and Partial Drop Rate (PDR) with PLR>0. The rest of this document +describes MLRsearch with NDR and PDR pair as an example. + +Similarly to other throughput search approaches like binary search, +MLRsearch is effective for SUTs/DUTs with PLR curve that is +non-decreasing with growing offered load. It may not be as +effective for SUTs/DUTs with abnormal PLR curves, although +it will always converge to some value. + +MLRsearch relies on traffic generator to qualify the received packet +stream as error-free, and invalidate the results if any disqualifying +errors are present e.g. out-of-sequence frames. + +MLRsearch can be applied to both uni-directional and bi-directional +throughput tests. + +For bi-directional tests, MLRsearch rates and ratios are aggregates of +both directions, based on the following assumptions: + +* Traffic transmitted by traffic generator and received by SUT/DUT + has the same packet rate in each direction, + in other words the offered load is symmetric. +* SUT/DUT packet processing capacity is the same in both directions, + resulting in the same packet loss under load. + +MLRsearch can be applied even without those assumptions, +but in that case the aggregate loss ratio is less useful as a metric. + +MLRsearch can be used for network transactions consisting of more than +just one packet, or anything else that has intended load as input +and loss ratio as output (duration as input is optional). +This text uses mostly packet-centric language. + +# MLRsearch Overview + +The main properties of MLRsearch: + +* MLRsearch is a duration aware multi-phase multi-rate search algorithm: + * Initial Phase determines promising starting interval for the search. + * Intermediate Phases progress towards defined final search criteria. + * Final Phase executes measurements according to the final search + criteria. + * Final search criteria are defined by following inputs: + * Target PLRs (e.g. 0.0 and 0.005 when searching for NDR and PDR). + * Final trial duration. + * Measurement resolution. +* Initial Phase: + * Measure MRR over initial trial duration. + * Measured MRR is used as an input to the first intermediate phase. +* Multiple Intermediate Phases: + * Trial duration: + * Start with initial trial duration in the first intermediate phase. + * Converge geometrically towards the final trial duration. + * Track all previous trial measurement results: + * Duration, offered load and loss ratio are tracked. + * Effective loss ratios are tracked. + * While in practice, real loss ratios can decrease with increasing load, + effective loss ratios never decrease. This is achieved by sorting + results by load, and using the effective loss ratio of the previous load + if the current loss ratio is smaller than that. + * The algorithm queries the results to find best lower and upper bounds. + * Effective loss ratios are always used. + * The phase ends if all target loss ratios have tight enough bounds. + * Search: + * Iterate over target loss ratios in increasing order. + * If both upper and lower bound are in measurement results for this duration, + apply bisect until the bounds are tight enough, + and continue with next loss ratio. + * If a bound is missing for this duration, but there exists a bound + from the previous duration (compatible with the other bound + at this duration), re-measure at the current duration. + * If a bound in one direction (upper or lower) is missing for this duration, + and the previous duration does not have a compatible bound, + compute the current "interval size" from the second tightest bound + in the other direction (lower or upper respectively) + for the current duration, and choose next offered load for external search. + * The logic guarantees that a measurement is never repeated with both + duration and offered load being the same. + * The logic guarantees that measurements for higher target loss ratio + iterations (still within the same phase duration) do not affect validity + and tightness of bounds for previous target loss ratio iterations + (at the same duration). + * Use of internal and external searches: + * External search: + * It is a variant of "exponential search". + * The "interval size" is multiplied by a configurable constant + (powers of two work well with the subsequent internal search). + * Internal search: + * A variant of binary search that measures at offered load between + the previously found bounds. + * The interval does not need to be split into exact halves, + if other split can get to the target width goal faster. + * The idea is to avoid returning interval narrower than the current + width goal. See sample implementation details, below. +* Final Phase: + * Executed with the final test trial duration, and the final width + goal that determines resolution of the overall search. +* Intermediate Phases together with the Final Phase are called + Non-Initial Phases. +* The returned bounds stay within prescribed min_rate and max_rate. + * When returning min_rate or max_rate, the returned bounds may be invalid. + * E.g. upper bound at max_rate may come from a measurement + with loss ratio still not higher than the target loss ratio. + +The main benefits of MLRsearch vs. binary search include: + +* In general MLRsearch is likely to execute more trials overall, but + likely less trials at a set final trial duration. +* In well behaving cases, e.g. when results do not depend on trial + duration, it greatly reduces (>50%) the overall duration compared to a + single PDR (or NDR) binary search over duration, while finding + multiple drop rates. +* In all cases MLRsearch yields the same or similar results to binary + search. +* Note: both binary search and MLRsearch are susceptible to reporting + non-repeatable results across multiple runs for very bad behaving + cases. + +Caveats: + +* Worst case MLRsearch can take longer than a binary search, e.g. in case of + drastic changes in behaviour for trials at varying durations. + * Re-measurement at higher duration can trigger a long external search. + That never happens in binary search, which uses the final duration + from the start. + +# Sample Implementation + +Following is a brief description of a sample MLRsearch implementation, +which is a simplified version of the existing implementation. + +## Input Parameters + +1. **max_rate** - Maximum Transmit Rate (MTR) of packets to + be used by external traffic generator implementing MLRsearch, + limited by the actual Ethernet link(s) rate, NIC model or traffic + generator capabilities. +2. **min_rate** - minimum packet transmit rate to be used for + measurements. MLRsearch fails if lower transmit rate needs to be + used to meet search criteria. +3. **final_trial_duration** - required trial duration for final rate + measurements. +4. **initial_trial_duration** - trial duration for initial MLRsearch phase. +5. **final_relative_width** - required measurement resolution expressed as + (lower_bound, upper_bound) interval width relative to upper_bound. +6. **packet_loss_ratios** - list of maximum acceptable PLR search criteria. +7. **number_of_intermediate_phases** - number of phases between the initial + phase and the final phase. Impacts the overall MLRsearch duration. + Less phases are required for well behaving cases, more phases + may be needed to reduce the overall search duration for worse behaving cases. + +## Initial Phase + +1. First trial measures at configured maximum transmit rate (MTR) and + discovers maximum receive rate (MRR). + * IN: trial_duration = initial_trial_duration. + * IN: offered_transmit_rate = maximum_transmit_rate. + * DO: single trial. + * OUT: measured loss ratio. + * OUT: MRR = measured receive rate. + Received rate is computed as intended load multiplied by pass ratio + (which is one minus loss ratio). This is useful when loss ratio is computed + from a different metric than intended load. For example, intended load + can be in transactions (multiple packets each), but loss ratio is computed + on level of packets, not transactions. + + * Example: If MTR is 10 transactions per second, and each transaction has + 10 packets, and receive rate is 90 packets per second, then loss rate + is 10%, and MRR is computed to be 9 transactions per second. + + If MRR is too close to MTR, MRR is set below MTR so that interval width + is equal to the width goal of the first intermediate phase. + If MRR is less than min_rate, min_rate is used. +2. Second trial measures at MRR and discovers MRR2. + * IN: trial_duration = initial_trial_duration. + * IN: offered_transmit_rate = MRR. + * DO: single trial. + * OUT: measured loss ratio. + * OUT: MRR2 = measured receive rate. + If MRR2 is less than min_rate, min_rate is used. + If loss ratio is less or equal to the smallest target loss ratio, + MRR2 is set to a value above MRR, so that interval width is equal + to the width goal of the first intermediate phase. + MRR2 could end up being equal to MTR (for example if both measurements so far + had zero loss), which was already measured, step 3 is skipped in that case. +3. Third trial measures at MRR2. + * IN: trial_duration = initial_trial_duration. + * IN: offered_transmit_rate = MRR2. + * DO: single trial. + * OUT: measured loss ratio. + * OUT: MRR3 = measured receive rate. + If MRR3 is less than min_rate, min_rate is used. + If step 3 is not skipped, the first trial measurement is forgotten. + This is done because in practice (if MRR2 is above MRR), external search + from MRR and MRR2 is likely to lead to a faster intermediate phase + than a bisect between MRR2 and MTR. + +## Non-Initial Phases + +1. Main phase loop: + 1. IN: trial_duration for the current phase. Set to + initial_trial_duration for the first intermediate phase; to + final_trial_duration for the final phase; or to the element of + interpolating geometric sequence for other intermediate phases. + For example with two intermediate phases, trial_duration of the + second intermediate phase is the geometric average of + initial_trial_duration and final_trial_duration. + 2. IN: relative_width_goal for the current phase. Set to + final_relative_width for the final phase; doubled for each + preceding phase. For example with two intermediate phases, the + first intermediate phase uses quadruple of final_relative_width + and the second intermediate phase uses double of + final_relative_width. + 3. IN: Measurement results from the previous phase (previous duration). + 4. Internal target ratio loop: + 1. IN: Target loss ratio for this iteration of ratio loop. + 2. IN: Measurement results from all previous ratio loop iterations + of current phase (current duration). + 3. DO: According to the procedure described in point 2: + 1. either exit the phase (by jumping to 1.5), + 2. or exit loop iteration (by continuing with next target loss ratio, + jumping to 1.4.1), + 3. or calculate new transmit rate to measure with. + 4. DO: Perform the trial measurement at the new transmit rate and + current trial duration, compute its loss ratio. + 5. DO: Add the result and go to next iteration (1.4.1), + including the added trial result in 1.4.2. + 5. OUT: Measurement results from this phase. + 6. OUT: In the final phase, bounds for each target loss ratio + are extracted and returned. + 1. If a valid bound does not exist, use min_rate or max_rate. +2. New transmit rate (or exit) calculation (for point 1.4.3): + 1. If the previous duration has the best upper and lower bound, + select the middle point as the new transmit rate. + 1. See 2.5.3. below for the exact splitting logic. + 2. This can be a no-op if interval is narrow enough already, + in that case continue with 2.2. + 3. Discussion, assuming the middle point is selected and measured: + 1. Regardless of loss rate measured, the result becomes + either best upper or best lower bound at current duration. + 2. So this condition is satisfied at most once per iteration. + 3. This also explains why previous phase has double width goal: + 1. We avoid one more bisection at previous phase. + 2. At most one bound (per iteration) is re-measured + with current duration. + 3. Each re-measurement can trigger an external search. + 4. Such surprising external searches are the main hurdle + in achieving low overal search durations. + 5. Even without 1.1, there is at most one external search + per phase and target loss ratio. + 6. But without 1.1 there can be two re-measurements, + each coming with a risk of triggering external search. + 2. If the previous duration has one bound best, select its transmit rate. + In deterministic case this is the last measurement needed this iteration. + 3. If only upper bound exists in current duration results: + 1. This can only happen for the smallest target loss ratio. + 2. If the upper bound was measured at min_rate, + exit the whole phase early (not investigating other target loss ratios). + 3. Select new transmit rate using external search: + 1. For computing previous interval size, use: + 1. second tightest bound at current duration, + 2. or tightest bound of previous duration, + if compatible and giving a more narrow interval, + 3. or target interval width if none of the above is available. + 4. In any case increase to target interval width if smaller. + 2. Quadruple the interval width. + 3. Use min_rate if the new transmit rate is lower. + 4. If only lower bound exists in current duration results: + 1. If the lower bound was measured at max_rate, + exit this iteration (continue with next lowest target loss ratio). + 2. Select new transmit rate using external search: + 1. For computing previous interval size, use: + 1. second tightest bound at current duration, + 2. or tightest bound of previous duration, + if compatible and giving a more narrow interval, + 3. or target interval width if none of the above is available. + 4. In any case increase to target interval width if smaller. + 2. Quadruple the interval width. + 3. Use max_rate if the new transmit rate is higher. + 5. The only remaining option is both bounds in current duration results. + 1. This can happen in two ways, depending on how the lower bound + was chosen. + 1. It could have been selected for the current loss ratio, + e.g. in re-measurement (2.2) or in initial bisect (2.1). + 2. It could have been found as an upper bound for the previous smaller + target loss ratio, in which case it might be too low. + 3. The algorithm does not track which one is the case, + as the decision logic works well regardless. + 2. Compute "extending down" candidate transmit rate exactly as in 2.3. + 3. Compute "bisecting" candidate transmit rate: + 1. Compute the current interval width from the two bounds. + 2. Express the width as a (float) multiple of the target width goal + for this phase. + 3. If the multiple is not higher than one, it means the width goal + is met. Exit this iteration and continue with next higher + target loss ratio. + 4. If the multiple is two or less, use half of that + for new width if the lower subinterval. + 5. Round the multiple up to nearest even integer. + 6. Use half of that for new width if the lower subinterval. + 7. Example: If lower bound is 2.0 and upper bound is 5.0, and width + goal is 1.0, the new candidate transmit rate will be 4.0. + This can save a measurement when 4.0 has small loss. + Selecting the average (3.5) would never save a measurement, + giving more narrow bounds instead. + 4. If either candidate computation want to exit the iteration, + do as bisecting candidate computation says. + 5. The remaining case is both candidates wanting to measure at some rate. + Use the higher rate. This prefers external search down narrow enough + interval, competing with perfectly sized lower bisect subinterval. + +# FD.io CSIT Implementation + +The only known working implementation of MLRsearch is in +the open-source code running in Linux Foundation +FD.io CSIT project [FDio-CSIT-MLRsearch] as part of +a Continuous Integration / Continuous Development (CI/CD) framework. + +MLRsearch is also available as a Python package in [PyPI-MLRsearch]. + +## Additional details + +This document so far has been describing a simplified version of +MLRsearch algorithm. The full algorithm as implemented in CSIT contains +additional logic, which makes some of the details (but not general +ideas) above incorrect. Here is a short description of the additional +logic as a list of principles, explaining their main differences from +(or additions to) the simplified description, but without detailing +their mutual interaction. + +1. Logarithmic transmit rate. + * In order to better fit the relative width goal, the interval + doubling and halving is done differently. + * For example, the middle of 2 and 8 is 4, not 5. +2. Timeout for bad cases. + * The worst case for MLRsearch is when each phase converges to + intervals way different than the results of the previous phase. + * Rather than suffer total search time several times larger than pure + binary search, the implemented tests fail themselves when the + search takes too long (given by argument *timeout*). +3. Intended count. + * The number of packets to send during the trial should be equal to + the intended load multiplied by the duration. + * Also multiplied by a coefficient, if loss ratio is calculated + from a different metric. + * Example: If a successful transaction uses 10 packets, + load is given in transactions per second, byt loss ratio is calculated + from packets, the coefficient to get intended count of packets is 10. + * But in practice that does not work. + * It could result in a fractional number of packets, + * so it has to be rounded in a way traffic generator chooses, + * which may depend on the number of traffic flows + and traffic generator worker threads. +4. Attempted count. As the real number of intended packets is not known exactly, + the computation uses the number of packets traffic generator reports as sent. + Unless overriden by the next point. +5. Duration stretching. + * In some cases, traffic generator may get overloaded, + causing it to take significantly longer (than duration) to send all packets. + * The implementation uses an explicit stop, + * causing lower attempted count in those cases. + * The implementation tolerates some small difference between + attempted count and intended count. + * 10 microseconds worth of traffic is sufficient for our tests. + * If the difference is higher, the unsent packets are counted as lost. + * This forces the search to avoid the regions of high duration stretching. + * The final bounds describe the performance of not just SUT, + but of the whole system, including the traffic generator. +6. Excess packets. + * In some test (e.g. using TCP flows) Traffic generator reacts to packet loss + by retransmission. Usually, such packet loss is already affecting loss ratio. + If a test also wants to treat retransmissions due to heavily delayed packets + also as a failure, this is once again visible as a mismatch between + the intended count and the attempted count. + * The CSIT implementation simply looks at absolute value of the difference, + so it offes the same small tolerance before it start marking a "loss". +7. For result processing, we use lower bounds and ignore upper bounds. + +### FD.io CSIT Input Parameters + +1. **max_rate** - Typical values: 2 * 14.88 Mpps for 64B + 10GE link rate, 2 * 18.75 Mpps for 64B 40GE NIC (specific model). +2. **min_rate** - Value: 2 * 9001 pps (we reserve 9000 pps + for latency measurements). +3. **final_trial_duration** - Value: 30.0 seconds. +4. **initial_trial_duration** - Value: 1.0 second. +5. **final_relative_width** - Value: 0.005 (0.5%). +6. **packet_loss_ratios** - Value: 0.0, 0.005 (0.0% for NDR, 0.5% for PDR). +7. **number_of_intermediate_phases** - Value: 2. + The value has been chosen based on limited experimentation to date. + More experimentation needed to arrive to clearer guidelines. +8. **timeout** - Limit for the overall search duration (for one search). + If MLRsearch oversteps this limit, it immediatelly declares the test failed, + to avoid wasting even more time on a misbehaving SUT. + Value: 600.0 (seconds). +9. **expansion_coefficient** - Width multiplier for external search. + Value: 4.0 (interval width is quadroupled). + Value of 2.0 is best for well-behaved SUTs, but value of 4.0 has been found + to decrease overall search time for worse-behaved SUT configurations, + contributing more to the overall set of different SUT configurations tested. + + +## Example MLRsearch Run + + +The following list describes a search from a real test run in CSIT +(using the default input values as above). + +* Initial phase, trial duration 1.0 second. + +Measurement 1, intended load 18750000.0 pps (MTR), +measured loss ratio 0.7089514628479618 (valid upper bound for both NDR and PDR). + +Measurement 2, intended load 5457160.071600716 pps (MRR), +measured loss ratio 0.018650817320118702 (new tightest upper bounds). + +Measurement 3, intended load 5348832.933500009 pps (slightly less than MRR2 +in preparation for first intermediate phase target interval width), +measured loss ratio 0.00964383362905351 (new tightest upper bounds). + +* First intermediate phase starts, trial duration still 1.0 seconds. + +Measurement 4, intended load 4936605.579021453 pps (no lower bound, +performing external search downwards, for NDR), +measured loss ratio 0.0 (valid lower bound for both NDR and PDR). + +Measurement 5, intended load 5138587.208637197 pps (bisecting for NDR), +measured loss ratio 0.0 (new tightest lower bounds). + +Measurement 6, intended load 5242656.244044665 pps (bisecting), +measured loss ratio 0.013523745379347257 (new tightest upper bounds). + +* Both intervals are narrow enough. +* Second intermediate phase starts, trial duration 5.477225575051661 seconds. + +Measurement 7, intended load 5190360.904111567 pps (initial bisect for NDR), +measured loss ratio 0.0023533920869969953 (NDR upper bound, PDR lower bound). + +Measurement 8, intended load 5138587.208637197 pps (re-measuring NDR lower bound), +measured loss ratio 1.2080222912800403e-06 (new tightest NDR upper bound). + +* The two intervals have separate bounds from now on. + +Measurement 9, intended load 4936605.381062318 pps (external NDR search down), +measured loss ratio 0.0 (new valid NDR lower bound). + +Measurement 10, intended load 5036583.888432355 pps (NDR bisect), +measured loss ratio 0.0 (new tightest NDR lower bound). + +Measurement 11, intended load 5087329.903232804 pps (NDR bisect), +measured loss ratio 0.0 (new tightest NDR lower bound). + +* NDR interval is narrow enough, PDR interval not ready yet. + +Measurement 12, intended load 5242656.244044665 pps (re-measuring PDR upper bound), +measured loss ratio 0.0101174866190136 (still valid PDR upper bound). + +* Also PDR interval is narrow enough, with valid bounds for this duration. +* Final phase starts, trial duration 30.0 seconds. + +Measurement 13, intended load 5112894.3238511775 pps (initial bisect for NDR), +measured loss ratio 0.0 (new tightest NDR lower bound). + +Measurement 14, intended load 5138587.208637197 (re-measuring NDR upper bound), +measured loss ratio 2.030389804256833e-06 (still valid PDR upper bound). + +* NDR interval is narrow enough, PDR interval not yet. + +Measurement 15, intended load 5216443.04126728 pps (initial bisect for PDR), +measured loss ratio 0.005620871287975237 (new tightest PDR upper bound). + +Measurement 16, intended load 5190360.904111567 (re-measuring PDR lower bound), +measured loss ratio 0.0027629971184465604 (still valid PDR lower bound). + +* PDR interval is also narrow enough. +* Returning bounds: +* NDR_LOWER = 5112894.3238511775 pps; NDR_UPPER = 5138587.208637197 pps; +* PDR_LOWER = 5190360.904111567 pps; PDR_UPPER = 5216443.04126728 pps. + +# IANA Considerations + +No requests of IANA. + +# Security Considerations + +Benchmarking activities as described in this memo are limited to +technology characterization of a DUT/SUT using controlled stimuli in a +laboratory environment, with dedicated address space and the constraints +specified in the sections above. + +The benchmarking network topology will be an independent test setup and +MUST NOT be connected to devices that may forward the test traffic into +a production network or misroute traffic to the test management network. + +Further, benchmarking is performed on a "black-box" basis, relying +solely on measurements observable external to the DUT/SUT. + +Special capabilities SHOULD NOT exist in the DUT/SUT specifically for +benchmarking purposes.Any implications for network security arising +from the DUT/SUT SHOULD be identical in the lab and in production +networks. + +# Acknowledgements + +Many thanks to Alec Hothan of OPNFV NFVbench project for thorough +review and numerous useful comments and suggestions. + +--- back diff --git a/resources/libraries/python/MLRsearch/MultipleLossRatioSearch.py b/resources/libraries/python/MLRsearch/MultipleLossRatioSearch.py index dd21444496..0e6c8cfa58 100644 --- a/resources/libraries/python/MLRsearch/MultipleLossRatioSearch.py +++ b/resources/libraries/python/MLRsearch/MultipleLossRatioSearch.py @@ -330,6 +330,7 @@ class MultipleLossRatioSearch: cur_lo1, cur_hi1, pre_lo, pre_hi, cur_lo2, cur_hi2 = bounds pre_lo_improves = self.improves(pre_lo, cur_lo1, cur_hi1) pre_hi_improves = self.improves(pre_hi, cur_lo1, cur_hi1) + # TODO: Detect also the other case for initial bisect, see below. if pre_lo_improves and pre_hi_improves: # We allowed larger width for previous phase # as single bisect here guarantees only one re-measurement. @@ -342,6 +343,10 @@ class MultipleLossRatioSearch: self.debug(f"Re-measuring lower bound for {ratio}, tr: {new_tr}") return new_tr if pre_hi_improves: + # This can also happen when we did not do initial bisect + # for this ratio yet, but the previous duration lower bound + # for this ratio got already re-measured as previous duration + # upper bound for previous ratio. new_tr = pre_hi.target_tr self.debug(f"Re-measuring upper bound for {ratio}, tr: {new_tr}") return new_tr @@ -397,7 +402,7 @@ class MultipleLossRatioSearch: If no second tightest (nor previous) upper bound is available, the behavior is governed by second_needed argument. - If true, return None, if false, start from width goal. + If true, return None. If false, start from width goal. This is useful, as if a bisect is possible, we want to give it a chance. @@ -414,6 +419,9 @@ class MultipleLossRatioSearch: """ state = self.state old_tr = cur_hi1.target_tr + if state.min_rate >= old_tr: + self.debug(u"Extend down hits min rate.") + return None next_bound = cur_hi2 if self.improves(pre_hi, cur_hi1, cur_hi2): next_bound = pre_hi @@ -427,9 +435,6 @@ class MultipleLossRatioSearch: old_tr, old_width, self.expansion_coefficient ) new_tr = max(new_tr, state.min_rate) - if new_tr >= old_tr: - self.debug(u"Extend down hits max rate.") - return None return new_tr def _extend_up(self, cur_lo1, cur_lo2, pre_lo): @@ -446,6 +451,9 @@ class MultipleLossRatioSearch: """ state = self.state old_tr = cur_lo1.target_tr + if state.max_rate <= old_tr: + self.debug(u"Extend up hits max rate.") + return None next_bound = cur_lo2 if self.improves(pre_lo, cur_lo2, cur_lo1): next_bound = pre_lo @@ -455,9 +463,6 @@ class MultipleLossRatioSearch: old_width = max(old_width, state.width_goal) new_tr = multiple_step_up(old_tr, old_width, self.expansion_coefficient) new_tr = min(new_tr, state.max_rate) - if new_tr <= old_tr: - self.debug(u"Extend up hits max rate.") - return None return new_tr def _bisect(self, lower_bound, upper_bound): diff --git a/resources/libraries/python/MLRsearch/PerDurationDatabase.py b/resources/libraries/python/MLRsearch/PerDurationDatabase.py index b069dd921a..afdf48614b 100644 --- a/resources/libraries/python/MLRsearch/PerDurationDatabase.py +++ b/resources/libraries/python/MLRsearch/PerDurationDatabase.py @@ -25,7 +25,7 @@ class PerDurationDatabase: so the logic is quite simple. Several utility methods are added, accomplishing tasks useful for MLRsearch - (to be called by MeasurementDatabade). + (to be called by MeasurementDatabase). """ def __init__(self, duration, measurements): @@ -61,6 +61,8 @@ class PerDurationDatabase: """Sort by target_tr, fail on detecting duplicate target_tr. Also set effective loss ratios. + + :raises ValueError: If duration does not match or if TR duplicity. """ measurements = self.measurements measurements.sort(key=lambda measurement: measurement.target_tr) diff --git a/resources/libraries/python/MLRsearch/WidthArithmetics.py b/resources/libraries/python/MLRsearch/WidthArithmetics.py index 81decfd12f..21316c5441 100644 --- a/resources/libraries/python/MLRsearch/WidthArithmetics.py +++ b/resources/libraries/python/MLRsearch/WidthArithmetics.py @@ -54,10 +54,12 @@ def halve_relative_width(relative_width, goal_width): fallback_width = 1.0 - math.sqrt(1.0 - relative_width) # Wig means Width In Goals. wig = math.log(1.0 - relative_width) / math.log(1.0 - goal_width) - cwig = math.ceil(wig) - if wig <= 2.0 or cwig != math.ceil(wig * ROUNDING_CONSTANT): + cwig = 2.0 * math.ceil(wig / 2.0) + fwig = 2.0 * math.ceil(wig * ROUNDING_CONSTANT / 2.0) + if wig <= 2.0 or cwig != fwig: + # Avoid too uneven splits. return fallback_width - coefficient = cwig // 2 + coefficient = cwig / 2 new_width = multiply_relative_width(goal_width, coefficient) return new_width |