A Novel Approach Towards Improving Performance of Load Balancing Using Genetic Algorithm in Cloud Computing

被引：0
|
作者：
Pilavare, Mayur S. [1 ]
Desai, Amish [1 ]
机构：
[1] Parul Inst Technol, Dept Comp Sci & Engn, Vadodara, Gujarat, India
来源：
2015 INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION, EMBEDDED AND COMMUNICATION SYSTEMS (ICIIECS) | 2015年
关键词：
Genetic Algorithm; Cloud Computing; Load Balancing; Logarithmic Least Square Matrix;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
As cloud computing is having connected via network with servers so there are so many issues are there to be solved. Load balancing is the main issue over the cloud to be resolved. Various techniques are used to improve the load balancing in cloud computing. Among them various techniques are outperformed by the Genetic Algorithm. The GA uses random selection of processors as the input to it and then processes. Previously it is taken as the processors and jobs are having same priority but that is not actual case. So to improve the efficiency of GA the input processors are given first to the priority algorithm that is Logarithmic Least Square Matrix that is proposed here. The problem of being idle and starvation is taken under observation to resolve them by the proposed algorithm.
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页数：4
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