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  • 标题:Server Consolidation Algorithms for Cloud Computing Environment: A Review
  • 本地全文:下载
  • 作者:Susheel Thakur ; Arvind Kalia ; Jawahar Thakur
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:9
  • 出版社:S.S. Mishra
  • 摘要:Virtualization technology provides the ability to transfer virtual machines (VM) between the physical systems using the technique of live migration mainly for improving the efficiency. Server consolidation through live migration is an efficient way towards energy conservation in cloud data centers. The main objective of this study is to prevent server sprawl, which refers to the usage of multiple-utilized servers in data centers incurring high system management cost. To prevent server sprawl, server conso lidation aims at reducing the number of server machines used in the data centers by consolidating load and enhancing resource utilization of physical systems. Although a lot of research and study has been conducted on server consolidation, a range of issues involved have mostly been presented in isolation of each other. Therefore, here an attempt has been made to present a comprehensive survey to study the different server consolidation algorithms in a cloud computing environment
  • 关键词:Cloud computing; live migration; Load balancing; Server Sprawl; Virtual Machine Monitor (VMM).
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