面向数据中心和云工作负载的多路径TCP性能评估

Lucas Chaufournier, A. Ali-Eldin, Prateek Sharma, P. Shenoy, D. Towsley
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引用次数: 16

摘要

今天的云数据中心承载着广泛的应用程序,包括数据分析、批处理和交互式处理。这些应用程序需要来自网络的高吞吐量、低延迟和高可靠性。面对动态变化的网络条件,满足这些要求仍然是一个具有挑战性的问题。多路径TCP (MPTCP)是IETF最近提出的对TCP的扩展,它将传统的TCP流分成多个子流,从而利用网络上的多条路径。尽管MPTCP在理论上和实践上都有好处,但它对云应用和环境的有效性仍然不清楚,因为很少有工作可以量化MPTCP对实际云应用的好处。我们在不同的网络条件下对数据中心和云应用的MPTCP的有效性和可行性进行了广泛的实证研究。我们的结果表明,虽然MPTCP为一些云应用程序提供了有用的带宽聚合、拥塞避免和改进的弹性,但这些好处并不是在应用程序之间统一适用的,尤其是在云设置中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Evaluation of Multi-Path TCP for Data Center and Cloud Workloads
Today's cloud data centers host a wide range of applications including data analytics, batch processing, and interactive processing. These applications require high throughput, low latency, and high reliability from the network. Satisfying these requirements in the face of dynamically varying network conditions remains a challenging problem. Multi-Path TCP (MPTCP) is a recently proposed IETF extension to TCP that divides a conventional TCP flow into multiple subflows so as to utilize multiple paths over the network. Despite the theoretical and practical benefits of MPTCP, its effectiveness for cloud applications and environments remains unclear as there has been little work to quantify the benefits of MPTCP for real cloud applications. We present a broad empirical study of the effectiveness and feasibility of MPTCP for data center and cloud applications, under different network conditions. Our results show that while MPTCP provides useful bandwidth aggregation, congestion avoidance, and improved resiliency for some cloud applications, these benefits do not apply uniformly across applications, especially in cloud settings.
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