期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2015
卷号：7
期号：6
页码：19
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The wide usage of the Internet and the availability of powerful computers and high-speed networks as lowcostcommodity components have a deep impact on the way we use computers today, in such a way thatthese technologies facilitated the usage of multi-owner and geographically distributed resources to addresslarge-scale problems in many areas such as science, engineering, and commerce. The new paradigm ofGrid computing has evolved from these researches on these topics. Performance and utilization of the griddepends on a complex and excessively dynamic procedure of optimally balancing the load among theavailable nodes. In this paper, we suggest a novel two-dimensional figure of merit that depict the networkeffects on load balance and fault tolerance estimation to improve the performance of the networkutilizations. The enhancement of fault tolerance is obtained by adaptively decrease replication time andmessage cost. On the other hand, load balance is improved by adaptively decrease mean job response time.Finally, analysis of Genetic Algorithm, Ant Colony Optimization, and Particle Swarm Optimization isconducted with regards to their solutions, issues and improvements concerning load balancing incomputational grid. Consequently, a significant system utilization improvement was attained. Experimentalresults eventually demonstrate that the proposed method's performance surpasses other methods.
