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AQM Evaluation Criteria and Scenarios Naeem Khademi - PowerPoint PPT Presentation

AQM Evaluation Criteria and Scenarios Naeem Khademi <naeemk@ifi.uio.no> Amadou B. Bagayoko <Amadou.Bagayoko@telecom-bretagne.eu> Gorry Fairhurst <gorry@erg.abdn.ac.uk> Chamil Kulatunga <chamil@erg.abdn.ac.uk> David Ros


  1. AQM Evaluation Criteria and Scenarios Naeem Khademi <naeemk@ifi.uio.no> Amadou B. Bagayoko <Amadou.Bagayoko@telecom-bretagne.eu> Gorry Fairhurst <gorry@erg.abdn.ac.uk> Chamil Kulatunga <chamil@erg.abdn.ac.uk> David Ros <David.Ros@telecom-bretagne.eu> Michael Welzl <michawe@ifi.uio.no> AQM WG – IETF 88 Vancouver, BC, Canada AQM Evaluation Criteria and Scenarios November 7, 2013 1 / 17

  2. Outline Outline AQM and Bufferbloat Metrics of Interest Evaluation Scenarios Parameter Sensitivity Burst Absorption RTT Sensitivity Fluctuating Bandwidth Extremely Low Delays Rural Broadband Networks (RBNs) Scheduling ECN Test Traffic Ongoing Work Q&A AQM Evaluation Criteria and Scenarios November 7, 2013 2 / 17

  3. AQM and Bufferbloat AQM and Bufferbloat ◮ Two very recent proposals ((FQ_)CoDel (IETF 84) and PIE (IETF 85)) aim to mitigate latency ◮ First AQM algorithms were proposed in early 90’s and 00’s (*RED, REM, BLUE, CHOKe,...) ◮ RED’s main goals (from abstract of original paper): ◮ Low avg queue size, allow occasional bursts ◮ Probability of notifying a flow roughly proportional to its rate ◮ Break synchronization among TCP flows ◮ AQM charter contains all these things + “help sources control their rates without unnecessary losses, e.g. through ECN” AQM Evaluation Criteria and Scenarios November 7, 2013 3 / 17

  4. Metrics of Interest AQM Evaluation Criteria (Metrics) ◮ Latency vs. utilization trade-off ◮ Link utilization ◮ Queuing delay (ms) and queue length (packets or bytes) ◮ mean, median, and upper/lower quantiles ◮ Packet loss ◮ long-term rate/probability ◮ pattern (loss inter-arrival time and distribution) ◮ Jain’s fairness index ◮ Synchronization metrics ◮ ... Discussion: do we need...? ◮ Flow completion time (application layer delay) ◮ MOS (or similar) for VoIP or other multimedia apps AQM Evaluation Criteria and Scenarios November 7, 2013 4 / 17

  5. Evaluation Scenarios Parameter Sensitivity AQM Parameter Sensitivity ◮ All AQMs keep a set of parameters ◮ Need to understand their impact ◮ Start with a simple “baseline scenario” (e.g. single TCP flow) and evaluate under different congestion levels Examples of AQM Parameters Parameter PIE CoDel ARED ( th _ min + th _ max ) / 2 Target delay 20 ms 5 ms Update interval 30 ms 100 ms 500 ms ( α, β ) (0.125,1.25) N/A ( min ( 0 . 01 , p max / 4 ) , 0 . 9 ) Note: Entirely different semantics for update interval and ( α, β ) AQM Evaluation Criteria and Scenarios November 7, 2013 5 / 17

  6. Evaluation Scenarios Parameter Sensitivity AQM Parameter Sensitivity – cont. ◮ Packet-mode vs. Byte-mode ◮ Head-drop vs. Tail-drop AQM Evaluation Criteria and Scenarios November 7, 2013 6 / 17

  7. Evaluation Scenarios Burst Absorption Sub-RTT Burst Absorption ◮ Queue as a shock absorber but often inflated for maximizing utilization ◮ Impact of buffer size and burst allowance on AQM performance ◮ Micro bursts vs. Macro bursts ◮ PHY rate mismatch ◮ IW10 ◮ HTTP mice ◮ bursty video frames (H.264/AVC) ◮ Financial data traffic? ◮ To what extent bursts cause TCP loss synchronization? AQM Evaluation Criteria and Scenarios November 7, 2013 7 / 17

  8. Evaluation Scenarios RTT Sensitivity RTT Sensitivity and Fairness ◮ TCP dynamics as a driving force for AQM design ◮ Worst-case RTT design ◮ (FQ_)CoDel postpones marking/dropping for 100 ms when it enters dropping mode ◮ Important to evaluate against a set of RTTs (from data centers to satellite links) ◮ { 1 ms, 5 ms, 20 ms, 100 ms, 500 ms, 1000 ms } AQM Evaluation Criteria and Scenarios November 7, 2013 8 / 17

  9. Evaluation Scenarios Fluctuating Bandwidth Fluctuating Bandwidth Better Metrics Used? (est. or act.) queuing delay vs. (average) queue size PHY/MAC Scenarios ◮ ADSL2+ modems (up to 24.0 /1.4 Mbps DL/UL) ◮ DOCSIS 3.0 CMs (at least 171.52/122.88 Mbps DL/UL, 4 CHs) ◮ 802.11 APs (different modulation and coding schemes) Tests ◮ Downlink/Uplink asymmetry ◮ 802.11-DCF’s impact on AQM (w/ bulk uplink TCP) ◮ 802.11 L2 RA ( SampleRate in FBSD, Minstrel in Linux) ◮ ACK loss with AQM on the reverse path AQM Evaluation Criteria and Scenarios November 7, 2013 9 / 17

  10. Evaluation Scenarios Extremely Low Delays Extremely Low Target Delays (Data-Centers) ◮ How do AQMs perform when target_delay ≤ 1 ms on 1 ∼ 10 Gbps links and RTT base =1 ∼ 2 ms? ◮ Parameter tuning most likely required e.g. PIE/ARED’s ( α , β ) Limitations Kernel clock granularity is a limiting factor ◮ Linux kernel Hz=1000 ◮ Some device drivers simply assume Hz=1000 ◮ NICs’ Offload Engines mess with AQMs! (GSO, TSO, UFO) AQM Evaluation Criteria and Scenarios November 7, 2013 10 / 17

  11. Evaluation Scenarios Rural Broadband Networks (RBNs) Rural Broadband Networks (RNBs) ◮ Large RTTs, small and fluctuating BWs (120 ms packet transmission time for a 1500 B packet over 100 Kbps link) ◮ > 500 ms RTTs is not uncommon in RBNs ◮ Link utilization is paramount => careful setting of AQM thresholds ◮ Bust absorption is important in RBNs AQM Evaluation Criteria and Scenarios November 7, 2013 11 / 17

  12. Evaluation Scenarios Scheduling AQM’s Interaction with Scheduling Benefits ◮ Flow protection/isolation w/ non-responsive traffic ◮ Flow-level fairness ◮ Straightforward AQM config (e.g. picking thresholds per single flow in VQ) AQM Evaluation Criteria and Scenarios November 7, 2013 12 / 17

  13. Evaluation Scenarios Scheduling AQM’s Interaction with Scheduling Benefits ◮ Flow protection/isolation w/ non-responsive traffic ◮ Flow-level fairness ◮ Straightforward AQM config (e.g. picking thresholds per single flow in VQ) (S)FQ_ AQM Implementation Status ◮ SFQ_CoDel (ns-2, Linux/iproute) ◮ SFQ_RED (Linux/iproute) ◮ SFQ_ARED (TO-DO) ◮ SFQ_PIE (?) AQM Evaluation Criteria and Scenarios November 7, 2013 12 / 17

  14. Evaluation Scenarios ECN AQM and ECN ◮ Use of ECN mandates AQM deployment ◮ Simplistic ECN implementation in AQMs (simply CE-marking instead of dropping) AQM Evaluation Criteria and Scenarios November 7, 2013 13 / 17

  15. Evaluation Scenarios ECN AQM and ECN ◮ Use of ECN mandates AQM deployment ◮ Simplistic ECN implementation in AQMs (simply CE-marking instead of dropping) Implementation Flaws and Mis-conceptions ◮ RFC 3168: CE code-point SHOULD only be set if the router would otherwise have dropped the packet as an indication of congestion. ◮ CE-marked packets contribute to delay/queue-size measurements => normally p marking | ecn > p drop | noecn with constant backlog AQM Evaluation Criteria and Scenarios November 7, 2013 13 / 17

  16. Evaluation Scenarios ECN AQM and ECN – cont. TO-DO ◮ Update the code to (somehow) take into account CE-marked packets ◮ “Baseline” configuration of similar marking / dropping should be documented; this is not a configuration with equal thresholds ◮ Update the AQM thresholds for ECN traffic (lower) p marking | ecn / p dropping | noecn (real-life test) TCP Flows CoDel PIE ARED 4 1.256 1.156 6.621 16 1.356 1.106 3.465 32 1.719 1.591 4.303 64 6.117 6.569 3.873 AQM Evaluation Criteria and Scenarios November 7, 2013 14 / 17

  17. Test Traffic Traffic ◮ Bulk TCP transfer as a starting point to verify TCP-based AQM assumptions ◮ CoDel uses TCP-based relationship between p drop and throughput ◮ Realistic HTTP web traffic (ON-OFF dist.) ◮ Mostly in Slow-Start ◮ TMIX? ◮ Many others (e.g. Video, Audio, Gaming, etc.) AQM Evaluation Criteria and Scenarios November 7, 2013 15 / 17

  18. Ongoing Work Ongoing Work ◮ Common AQM evaluation suite I-D ◮ ns-2 simulation (and real-life test) code to be published AQM Evaluation Criteria and Scenarios November 7, 2013 16 / 17

  19. Q&A Q&A AQM Evaluation Criteria and Scenarios November 7, 2013 17 / 17

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