Presentation on theme: "Impact of Background Traffic on Performance of High-speed TCPs"— Presentation transcript:
1 Impact of Background Traffic on Performance of High-speed TCPs Injong RheeNorth Carolina State UniversityCollaborators: Sangtae Ha, Lisong Xu, Long LeMicrosoft Workshop
2 Slow window growth of Reno-style TCP results in under-utilization BackgroundSlow window growth of Reno-style TCP results in under-utilizationKorea202msNCJapan48msExperiment with linuxIperf (1 TCP-SACK flow)1Gbit backbone link: NC (USA) – Korea – Japan (special thanks to research team in Japan)
3 High-Speed TCP Variants CUBICH-TCPTCP-AfricaCompoundTCPHSTCPBIC-TCPTCP-ARenoFASTScalableNewProtocolTCP-WestwoodMany High-speed TCP variants have been proposedHow can we evaluate these protocols? Which criteria?
5 Performance Criteria and Design Tradeoffs There are many performance criteriaFairnessIntra-protocol fairnessRTT-fairnessTCP-friendlinessScalability (High link utilization)StabilityNot all protocols satisfy all the goals.But instead, make different design tradeoffs.For example, give up on convergence time to gain more stability, or vice versa.
6 Performance Evaluation Methodology Internet experimentMost realistic tests, butHard to reproduce the resultsNo idea on what happened in the networkSimulation or dummynet emulationEasily reproducible and verifiableMain issue: are they realistic? how to recreate the Internet environments?Theoretical analysisProvide important insights on the behavior of protocolsBut convenient assumptions and less useful for comparison (e.g., first order behaviors).
7 Testbed emulation - recreating the Internet environment. TopologyCan’t model the complexity of the entire network.Thus, most evaluations focus on one or a few hop environments (or dumbbell).WorkloadTo compensate, focus on injecting realistic background traffic into the bottleneck link.As arriving flows must have gone through many hops, mimicking the traffic pattern seen in one core router has some effect of emulating the topology.Not perfect as it does not allow us to see the behaviors of protocols under multiple bottlenecks.But this can be overcome by use of a “parking” lot topology assuming bottleneck links are only a few.
8 Realistic background traffic Hard to prove its realism, but we can make at least the statistics similar.Measure the Internet traffic in one Internet link and extract its statistical patterns such as flow sizes, arrival rates, transmission rates, etc.Highly detailed recreation of Internet traffic (based on these statistical patterns) are possible.Tools: HARPOON, Tmix, etc.A quick and dirty way: just emulate the patterns generally observed in the Internet.Arrivals -- exponential, heavy-tailFlow sizes -- a varied form of heavy-tail (different body and tail)RTT variations -- log-normal
9 Our workWe study the impact of background traffic patterns on the performance of protocols.Important to understand their behaviors in the Internet-like environments.This will shed lights on different tradeoffs that different protocols take.
10 Testbed (Dummynet) Setup Totally 18 servers for generating background traffic and receiving and sending protocol flows.Background traffic is pushed into forward/backward directionsLong-lived flows: Iperf, short-lived flows: Surge (web traffic generator)The RTT of each flow is randomly chosen based on input distribution.Experimental parameters: RTT (40ms to 320ms), buffer sizes (1MB to 8MB).
11 Five different types of background traffic Type I:Surge (LN Body 93%, Pareto tail 7%)Exponential arrival (0.2)Type II:Surge (LN Body 70%, Pareto tail 30%)Minimum file size for tail - 1MBExponential arrival (0.6)Type III:Type I (90%), P2P traffic (10%)P2P traffic - Pareto, Minimum 3MBType IV:100% log-normal bodyType V:Type II + 12 long-lived Iperf flows
12 Link utilization and stability No Background(Buffer 1MB)Type II(Buffer 1MB)Some protocols reduce utilization when the rate variance ofbackground traffic increases.
13 Link utilization, stability and loss synchronization No BackgroundType IIUtilizationHigh-speed TCP flowsBackground trafficHigh rate variations of protocol flows may cause loss synchronizationand low utilization.
14 Stability vs. Link utilization ProtocolStability(measured inCoV - StandardDeviation dividedBy mean)Link utilization
15 Link utilization and stability under various traffic types (HTCP) CoV
16 Fairness (measured in throughput ratio) TCP friendliness(RTT 42 ms;2MB buffer)Intra-protocolFairness(RTT 82 ms)RTT-fairness(flow 1: 42 ms;flow 2: 162 ms)Generally, H-TCP shows the excellent fairness regardless of traffic types.All protocols improve fairness with more variance in bg traffic,but the size of traffic makes the biggest difference (type V).
17 TCP friendliness No background Type V Generally, all protocols improve fairness with type V background traffic.
18 TCP-friendliness another look Type II traffic with varying numbers of high- speed flows (320ms RTT).Measured the throughput of Type II traffic.We don’t find much difference in throughput.
19 Convergence speedCubicH-TCPNo background trafficType II
20 Types of background traffic reveal “the beast” in disguise. E.g, ConclusionTypes of background traffic reveal “the beast” in disguise. E.g,Some protocols trade convergence speed for higher stability.Some protocols trade stability for faster convergence and fairness.Rate variance of background traffic affects the stability and also link utilization.All protocols improve fairness and convergence speed with more background traffic (size matters more than variance).
21 Intra-protocol fairness No background(2 MB buffer)Type V(2 MB buffer)
22 Intra-protocol fairness (FAST) Type ITraffic;1 MBBuffer.Wrong estimation of minimum RTT causes different flows to runat different rates
23 Link utilization v.s. buffer size As the buffer space increases, the stability gets better.320ms RTT
24 Impact of buffer sizesBuffer size (1 – 8MB), four HS flows with the same RTT (320ms)As the buffer size increases, the CoV of all protocols decreases
25 Impact of congestionBuffer size (2MB), two HS flows with the same RTT (40ms – 320ms), a dozen long-lived TCP flows addedConvex protocols have a large variations (convex ordering still exists)
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