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Performance study of TCP flows with QoS-supported OpenFlow in data center networks

机译:数据中心网络中QoS支持OpenFlow的TCP流的性能研究

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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.
机译:提供QoS保证是云数据中心的重要任务。在数据中心运行的应用程序才能实现可预测的性能,仅当网络资源带宽以及计算和存储资源一起保证。虽然QoS保障网络中的解决方案一直是过去几十年中的激烈研究主题,但在本文中,我们专注于研究软件定义的网络架构在提供QoS保证中的数据中心的能力。特别是,我们尝试最着名和标准化的OpenFlow,以分析最近版本(OpenFlow v1.3)中支持的QoS API的良善,以便在数据中心中的TCP流量提供速率。我们试验常用的TCP拥塞控制算法,即立方和新的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流程可以体验到批量数据包,强迫它们周期性地切换到慢速开始阶段,从而导致效率低下的带宽利用率。此行为可能对生成流程的应用程序产生不利影响。因此,我们需要开发更好的机制,以限制流速,同时允许流动在其拥塞 - 避免阶段运行。

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