文章基本信息

标题：A Systematic Way to Cloud Server Optimization Using Orthogonal Recursive Bisection Technique for Cloud Migration
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作者：Kamalpreet Kaur ; Vanita Rani
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：6
页码：5026-5032
出版社：TechScience Publications
摘要：From past years, Cloud computing become need as it provides online hardware and software services over internet to accomplish our task in a seem less way. Due to its usage it suffers from many problems like overloading, migration, resources utilization, energy management, server consolidation etc. Biggest issues to this all problems are load balancing and migration, which is division of workload to all servers equally for delivering faster service to gain high user satisfaction and to handle load balancing migration is a key point to move data from one server to another but still cloud manager face extreme problem at the time of migration. So, in this paper, we have implemented and compared one load balancing strategy called orthogonal recursive bisection algorithm to group server nodes into a balanced tree and then migrate resources so to keep the tree balanced. After that we computed the results of Pre Migration and Post Migration in terms of best and worst server virtual machines. We have taken initially 500 virtual machines for migration. We also analyzed the behavior of migrated virtual machines through different parameters like energy consumption’s, load factor, migration time for all resources.
关键词：Virtual machines; Cloudsim; Pre-migration;Post-migration; Cloud computing; Data centers.