Programming your network at run-time for big data applications

HotSDN '12 Pub Date : 2012-08-13 DOI:10.1145/2342441.2342462
Guohui Wang, T. S. E. Ng, A. Shaikh
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引用次数: 198

Abstract

Recent advances of software defined networking and optical switching technology make it possible to program the network stack all the way from physical topology to flow level traffic control. In this paper, we leverage the combination of SDN controller with optical switching to explore the tight integration of application and network control. We particularly study the run-time network configuration for big data applications to jointly optimize application performance and network utilization. We use Hadoop as an example to discuss the integrated network control architecture, job scheduling, topology and routing configuration mechanisms for Hadoop jobs. Our analysis suggests that such an integrated control has great potential to improve application performance with relatively small configuration overhead. We believe our study shows early promise of achieving the long-term goal of tight network and application integration using SDN.
在运行时为大数据应用程序编程网络
软件定义网络和光交换技术的最新进展使得从物理拓扑到流级流量控制的网络堆栈编程成为可能。在本文中,我们利用SDN控制器与光交换的结合来探索应用与网络控制的紧密结合。重点研究大数据应用运行时网络配置,共同优化应用性能和网络利用率。以Hadoop为例,讨论了Hadoop作业的集成网络控制体系结构、作业调度、拓扑和路由配置机制。我们的分析表明,这样的集成控制在以相对较小的配置开销提高应用程序性能方面具有很大的潜力。我们相信我们的研究显示了使用SDN实现紧密网络和应用集成的长期目标的早期希望。
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