文章基本信息

标题：Energy Efficiency in Cloud Data Centers Using Load Balancing
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作者：Ankita Sharma ; Upinder Pal Singh
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2014
卷号：11
期号：4
页码：174-181
DOI：10.14445/22312803/IJCTT-V11P137
出版社：Seventh Sense Research Group
摘要：Cloud computing is an expanding area in research and industry today, which involves virtualization, distributed computing, internet, and software and web services. This paper presents an approach for scheduling algorithms that can maintain the load balancing. In this research work we have developed power optimization algorithm which over comes the limitations of the previous algorithms[Round Robin, Equally Spread Current Execution Algorithm, Throttled Load Balancing which are used for the over load management of the data leading to positive consequences in terms of overall power consumption of the data centre thus helping in green computing. As due to undue overload of traffic and then overhead due to mitigation and migration of the virtual machines to balance out the operations there is always an impact on the power consumption, if there is more overload, there is bound to be more power consumption, and if balancing works well, there is bound to be an optimized tradeoff for energy consumption. Results have shown that overall impact of power consumption is reduced by using the proposed algorithm.
关键词：Cloud computing; Green computing; Load balancing; Round robin; equally spread current execution; Throttled; Virtual machine.