Experimental study of large-scale computing on virtualized resources

Juan C. Martinez, Lixi Wang, Ming Zhao, S. Masoud Sadjadi
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引用次数: 16

Abstract

Parallel applications have a pressing need for the utilization of more and more resources to meet user's performance expectations. Unfortunately, these resources are not necessarily available within one single domain. Grid computing provides a solution to scaling out from a single domain; however, it also brings another problem for some applications: resource heterogeneity. Since some applications require having homogeneous resources for their execution, virtualizing the resources is a noble and viable solution. In this paper, we present two parallel applications, namely WRF and mpiBLAST and report the results of different runs scaling them out from 2 to 128 virtual nodes. Later, we analyze the effects of scaling out based on the application's communication behavior.
基于虚拟化资源的大规模计算实验研究
并行应用迫切需要利用越来越多的资源来满足用户对性能的期望。不幸的是,这些资源不一定在一个域中可用。网格计算提供了从单个域向外扩展的解决方案;然而,它也给一些应用带来了另一个问题:资源异构性。由于一些应用程序的执行需要同质资源,因此虚拟化资源是一种高贵而可行的解决方案。在本文中,我们提出了两个并行应用程序,即WRF和mpiBLAST,并报告了将它们从2个虚拟节点扩展到128个虚拟节点的不同运行结果。随后,我们根据应用程序的通信行为分析了向外扩展的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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