支持qos的OpenFlow在数据中心网络中TCP流的性能研究

Purnima Murali Mohan, D. Divakaran, G. Mohan
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引用次数: 17

摘要

提供QoS保障是云数据中心的一项重要任务。只有保证网络资源(带宽)以及计算和存储资源,运行在数据中心上的应用程序才能实现可预测的性能。在过去的几十年里,网络中的QoS保障方案一直是研究的热点,本文主要研究软件定义网络架构在数据中心中提供QoS保障的能力。特别地,我们对最著名和标准化的OpenFlow进行了实验,以分析最新版本(OpenFlow v1.3)中支持的QoS api在为数据中心中的TCP流提供速率保证方面的优点。我们实验了常用的TCP拥塞控制算法,即CUBIC和New Reno。我们的研究表明,使用速率限制器,通过启用openflow的交换机的TCP流可能会经历数据包批次的下降,迫使它们周期性地切换到慢启动阶段,从而导致带宽利用率低下。这种行为会对生成流的应用程序的性能产生不利影响。因此,我们需要开发更好的机制来限制流量,同时允许流量在避免拥堵的阶段运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance study of TCP flows with QoS-supported OpenFlow in data center networks
Providing QoS guarantees is an important task in Cloud data centers. Applications running on data centers can achieve predictable performance only if the network resource - bandwidth - is also guaranteed along with the computational and storage resources. While QoS guaranteeing solutions in network has been a subject of intense research in the past decades, in this paper, we focus on studying the capability of software-defined networking architecture in providing QoS guarantees in data centers. In particular, we experiment with the most well-known and standardized OpenFlow, to analyze the goodness of the QoS APIs supported in the recent version (OpenFlow v1.3) in providing rate-guarantees to TCP flows in a data center. We experiment with the commonly implemented TCP congestion control algorithms, namely CUBIC and New Reno. Our study demonstrates that, with rate-limiters, the TCP flows that go through an OpenFlow-enabled switch can experience drops to batches of packets, forcing them to switch to the slow-start phase periodically, thereby leading to inefficient bandwidth utilization. This behaviour can adversely affect the performance of applications generating the flows. Hence, we need to develop better mechanisms that limit flow-rates while allowing the flows to operate in their congestion-avoidance phase.
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