Comparative Study of Different Cloud Computing Load Balancing Techniques

被引:0
|
作者
Hans, Abhinav [1 ]
Kalra, Sheetal [1 ]
机构
[1] Guru Nanak Dev Univ RC Jalandhar, Jalandhar, Punjab, India
关键词
Ant colony; HoneyBee foraging; Genetic Algorithm; Join Idle Queue; Shortest Job First; Stochastic Hill Climbing; Generalized Priority Algorithm;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Cloud computing is one of the ongoing scalable approach for the cloud based services. The cloud computing with its all beneficial advantages leads to a new era where the solution to the infrastructure remedies and many others are made to overcome. Since the technology is new therefore the development of the whole structure is not so efficient. It does have a lot of issues on which various scientists and others are working on. Load balancing is one of the issue of the cloud computing which involves the dividing the load equally so the throughput is high with less response time. For this purpose various load balancing techniques and algorithms have been proposed. In this paper we will study the different types of load balancing techniques and make a comparative analysis among all the existing techniques.
引用
收藏
页码:395 / 397
页数:3
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