Publication | Closed Access
Tuning ECN for data center networks
111
Citations
26
References
2012
Year
Unknown Venue
Cluster ComputingCongestion ManagementInstant Queue LengthEngineeringData Center ManagementEdge ComputingNetwork Traffic ControlCloud ComputingComputer EngineeringNetwork AnalysisSystems EngineeringNetwork CalculusComputer ScienceData Center NetworksData Center NetworkCongestion ControlTcp PerformanceTcp Incast
There have been some serious concerns about the TCP performance in data center networks, including the long completion time of short TCP flows in competition with long TCP flows, and the congestion due to TCP incast. In this paper, we show that a properly tuned instant queue length based Explicit Congestion Notification (ECN) at the intermediate switches can alleviate both problems. Compared with previous work, our approach is appealing as it can be supported on current commodity switches with a simple parameter setting and it does not need any modification on ECN protocol at the end servers. Furthermore, we have observed a dilemma in which a higher ECN threshold leads to higher throughput for long flows whereas a lower threshold leads to more senders on incast under buffer pressure. We address this problem with a switch modification only scheme - dequeue marking, for further tuning the instant queue length based ECN to achieve optimal incast performance and long flow throughput with a single threshold value. Our experimental study demonstrates that dequeue marking is effective for increasing the maximum incast senders close to the performance limit of ECN, achieving a gain anywhere from 16% to 140%.
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