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QAECN: Dynamically Tuning ECN Threshold with Micro-burst in Multi-queue Data Centers | IEEE Conference Publication | IEEE Xplore

QAECN: Dynamically Tuning ECN Threshold with Micro-burst in Multi-queue Data Centers


Abstract:

Packet loss is a common problem in data center networks. The factors causing packet loss are various. Among them, micro-burst is the most important reason. Some previous ...Show More

Abstract:

Packet loss is a common problem in data center networks. The factors causing packet loss are various. Among them, micro-burst is the most important reason. Some previous works have studied the causes and influence o f micro-burst in single queue data center. However, through simulations and experiments, we find that micro-burst could bring m ore serious performance degradation in multi-queue data centers. The micro-burst traffic could cause E CN marking ratio rising from 4% to 22%, and cause throughput loss by up to 40%. Through observing queue length, we find that the standard E CN, which adopts immutable threshold, is not suitable for micro-burst traffic because micro-burst could trigger spurious congestion signals frequently, especially in DCTCP. In this paper, we not only show how much influence the micro-burst brings, but also propose Queue-length Aware ECN (QA-ECN) scheme to mitigate micro-burst. Finally, the simulations and experiments show that QAECN could reduce ECN marking ratio to 2.5%. In addition, the throughput and flow completion time could be improved by up to 22.9% and 34.1%, respectively.
Date of Conference: 06-08 May 2019
Date Added to IEEE Xplore: 08 August 2019
ISBN Information:
Conference Location: Porto, Portugal

References

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