期刊名称：Relatórios de Pesquisa em Engenharia de Produção
电子版ISSN：1678-2399
出版年度：2011
卷号：11
出版社：Universidade Federal Fluminense (UFF)
摘要：Increasingly, clusters of servers have been deployed in large data cen-ters to support the development and implementation of many kinds of ser-vices, having distinct workload demands that vary over time, in a scalableand e.cient computing environment. Emerging trends are utility/cloudcomputing platforms, where many network services, implemented andsupported using server virtualization techniques, are hosted on a sharedcluster infrastructure of physical servers. The energy consumed to main-tain these large server clusters became a very important concern, which inturn, requires major investigation of optimization techniques to improvethe energy e.ciency of their computing infrastructure.In this work, we present a novel optimization approach that simultane-ously deals with (1) CPU power-saving techniques combined with serverswitching on/o. mechanisms, (2) the case of server heterogeneity, (3) vir-tualized server environments, (4) an e.cient optimization method basedon column generation techniques. The key aspects of our approach arethe basis on rigorous and robust optimization techniques, given by highquality solutions in short amount of processing time, and experimentalresults on the cluster configuration problem for large-scale heterogeneous server clusters that can make use of virtualization techniques
关键词：Column generation; Energy management; Server cluster vir-;tualization.
