用SpateN雕刻科学应用的软件定义网络

Celio Trois, L. C. E. Bona, Marcos Didonet Del Fabro, M. Martinello
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引用次数: 2

摘要

科学应用程序(SciApps)广泛应用于所有科学领域。为了获得更准确的结果,他们对计算能力和极其敏捷的网络的要求越来越高。这些应用程序通常使用数值方法来实现,这些数值方法表现出良好的模式,以便在其计算节点之间交换数据。SpateN是一个利用SciApps的空间通信模式作为驱动网络编程的基本逻辑的工具。SpateN对SciApps节点的通信进行分类,并在可用的网络路径上平衡大象流。作为概念验证,我们在真实的测试平台上进行了一系列实验,证明网络编程可能会显著影响SciApps的性能。此外,平衡的流分配可以将SciApps的执行时间加快到接近最佳的水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Carving Software-Defined Networks for Scientific Applications with SpateN
Scientific applications (SciApps) are broadly used in all science domains. For more accurate results, they have been increasingly demanding computational power and extremely agile networks. These applications are usually implemented using numerical methods presenting well-behaved patterns to exchange data across its computing nodes. This paper presents SpateN, a tool that exploits the spatial communication patterns of SciApps as the fundamental logic to drive the network programming. SpateN classifies the SciApps nodes communications and balances the elephant flows across the available network paths. As a proof of concept, we carried out a set of experiments in real testbeds, demonstrating that network programming may affect the performance of SciApps significantly. Also, a balanced flow allocation can speed up SciApps to near-optimal execution times.
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