文章基本信息

标题：Efficient Cloud Computing Load Balancing Using Cloud Partitioning and Game Theory in Public Cloud
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作者：P.Rahul ; Dr.A.Senthil Kumar ; Boney Cherian 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：3
DOI：10.15680/ijircce.2015.0303128
出版社：S&S Publications
摘要：Cloud computing could be an idea that has several computers interconnected through a true timenetwork like web. Cloud computing is economical and ascendable however to keep up the soundness of process manyroles within the cloud computing could be a terribly tough drawback. The work arrival pattern cannot be foretold andalso the capacities of every node within the cloud disagree. Thus for levelling the usage of web and connectedresources has enhanced wide. As a result of this there's tremendous increase in employment. Therefore there's unevendistribution of this employment which ends in server overloading and should crash. In such the load, it's crucial tomanage workloads to boost system performance and maintain stability. The load on each cloud is variable and addictedto numerous factors. Smart load levelling makes cloud computing additional economical and conjointly improves usersatisfaction. The load levelling model given during this work is aimed toward the general public cloud that has variousnodes with distributed computing resources in many alternative geographic locations. Thus, this model divides thegeneral public cloud into many cloud partitions. Once the atmosphere is extremely massive and complicated, thesedivisions alter the load levelling. The cloud encompasses a main controller that chooses the acceptable partitions forincoming jobs whereas the balancer for every cloud partition chooses the most effective load levelling strategy.
关键词：Game Theory; Cloud partition; Load balancing