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diff --git a/docs/ietf/draft-ietf-bmwg-mlrsearch-01.md b/docs/ietf/draft-ietf-bmwg-mlrsearch-01.md deleted file mode 100644 index f904722478..0000000000 --- a/docs/ietf/draft-ietf-bmwg-mlrsearch-01.md +++ /dev/null @@ -1,685 +0,0 @@ ---- -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 |