PEQ: Scheduling Time-Sensitive Data-Center Flows using Weighted Flow Sizes and Deadlines

Vinay K. Gopalakrishna, Yagiz Kaymak, Chuan-Bi Lin, R. Rojas-Cessa
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引用次数: 1

Abstract

We propose a deadline-aware flow scheduling scheme, called Preemptive Efficient Queuing (PEQ), which takes both the deadlines and sizes of the flows into account for efficient flow scheduling of flows in a data-center network in this paper. PEQ benefits from evaluating the deadlines and flow sizes of flows to improve application throughput. Our results show that PEQ outperforms the state-of-the-art deadline-aware transport schemes in terms of the application throughput and average flow completion time, under traffic with different deadline distributions. Results also show that PEQ yields a near-optimal application throughput in cases where short flows have long deadlines and long flows have strict deadlines. In other words, PEQ attains higher performance than the counterpart schemes on traffic with broader distribution of deadlines and flow sizes.
PEQ:使用加权流量大小和截止日期调度时间敏感的数据中心流
本文提出了一种基于截止日期感知的流调度方案,即抢占式高效排队(Preemptive Efficient Queuing, PEQ),该方案同时考虑了流的截止日期和流的大小,从而实现了数据中心网络中流的高效调度。PEQ通过评估流的截止日期和流大小来提高应用程序吞吐量。我们的研究结果表明,在不同截止日期分布的流量下,PEQ在应用程序吞吐量和平均流完成时间方面优于最先进的截止日期感知传输方案。结果还表明,在短流具有较长的截止日期和长流具有严格的截止日期的情况下,PEQ产生了接近最优的应用程序吞吐量。换句话说,PEQ在截止日期和流量大小分布更广的情况下比同类方案获得更高的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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