期刊名称：International Journal of Grid and Distributed Computing
印刷版ISSN：2005-4262
出版年度：2014
卷号：7
期号：5
页码：97-110
DOI：10.14257/ijgdc.2014.7.5.09
出版社：SERSC
摘要：The recent advances in cloud computing set up well established research in Distributed computing, virtualization, web services, utility computing, have offered many benefits in scalability, cost and efficiency for cloud service users. These advantages are further expected to fulfill the demands of cloud users for cloud services efficiently. This brings the problem of fault tolerance, scalability, efficiency, high availability. Central to these issues require the dynamic and efficient load balancing techniques. In this paper, an effective load balance model is presented for public cloud in which cloud is partitioned with a switch mechanism to choose different load balancing strategy for different load. Fuzzy Logic have been extensively used in various applications such as image processing, data mining, networking, etc. due to its efficient internal architecture and its compatibility to solve various optimization problems. Fuzzy base networks have been observed to produce optimal results in various combinatorial optimization problems. Another important area which provides significant results in solving optimization is the swarm intelligence approach. GSO is observed to have provided significant optimal solution in lesser iterations. In this paper The Fuzzy logic and GSO based load balancing algorithm applied to the load balancing strategy to enhance the utilization and efficiency in the public cloud environment.
