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Optimizing the resource utilization of datacenter networks with OpenFlow

机译:使用OpenFlow优化数据中心网络的资源利用率

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Decreasing the flow completion time (FCT) and increasing the throughput are two fundamental targets in datacenter networks (DCNs), but current mechanisms mostly focus on one of the problems. In this paper, we propose OFMPC, an OpenFlow based MultiPath Cooperation framework, to decrease FCT and increase the network throughput. OFMPC partitions the end-to-end transmission paths into two classes, which are low delay paths (LDPs) and high throughput paths (HTPs), respectively. Short flows are assigned to LDPs to avoid long queueing delay, while long flows are assigned to HTPs to guarantee their throughput. Meanwhile, a dynamic scheduling mechanism is presented to improve network efficiency. We evaluate OFMPC in Mininet emulator and a testbed, and the experimental results show that OFMPC can effectively decrease FCT. Besides, OFMPC also increases the throughput up to more than 84% of bisection bandwidth.
机译:减少流完成时间(FCT)和增加吞吐量是数据中心网络(DCN)的两个基本目标,但是当前的机制主要集中在问题之一上。在本文中,我们提出了OFMPC(一种基于OpenFlow的多路径协作框架),以降低FCT并增加网络吞吐量。 OFMPC将端到端传输路径分为两类,分别是低延迟路径(LDP)和高吞吐量路径(HTP)。将短流分配给LDP,以避免长排队延迟,而将长流分配给HTP,以确保其吞吐量。同时,提出了一种动态调度机制来提高网络效率。我们在Mininet仿真器和测试平台上评估了OFMPC,实验结果表明OFMPC可以有效地降低FCT。此外,OFMPC还可以将吞吐量提高到对等带宽的84%以上。

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