Experimental Study of Large-scale Computing on Virtualized Resources

机译：虚拟资源大规模计算的实验研究

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Parallel applications have a pressing need for the utilization of more and more resources to meet users' performance expectations. Unfortunately, these resources are not necessarily available within one single domain. Grid computing provides a solution for 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.rnIn 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.

机译：并行应用迫切需要利用越来越多的资源来满足用户的性能期望。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。但是，它也为某些应用程序带来了另一个问题：资源异构性。由于某些应用程序需要执行时使用同质资源，因此对资源进行虚拟化是一种高贵而可行的解决方案。在本文中，我们介绍了两个并行应用程序，即WRF和mpiBLAST，并报告了将它们从2扩展到128虚拟的不同运行结果节点。稍后，我们将基于应用程序的通信行为来分析横向扩展的效果。

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来源
《3rd international workshop on virtualization technologies in distributed computing 2009》|2009年|P.35-41|共7页
会议地点 Barcelona(ES);Barcelona(ES)
作者
Juan C. Martinez; rnLixi Wang; rnMing Zhao; rnS. Masoud Sadjadi;
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作者单位

School of Computing and Information Sciences, Florida International University;

rnSchool of Computing and Information Sciences, Florida International University;

rnSchool of Computing and Information Sciences, Florida International University;

rnSchool of Computing and Information Sciences, Florida International University;

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原文格式 PDF
正文语种 eng
中图分类分布式操作系统、并行式操作系统;
关键词
grid computing; performance evaluation; virtualization;

机译：网格计算;绩效评估；虚拟化;

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Experimental Study of Large-scale Computing on Virtualized Resources

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