Abstract

Cloud Computing is a fastest growing era of computer science. It provides computing services through the internet. With the huge demand of the cloud resources over past few decades, load balancing is the major issue for the cloud provider. To achieve the proper load balancing virtual machine (VM) migration is used. Over past few decades, several VM migration approach have been proposed, but main challenging issue in these approach is to diminish the downtime (time for which VM is unavailable) and total migration time (time required to finish the migration process). To handle mentioned issues, this paper introduced Multi phase pre-copy based live migration approach. It works in multi phases such as: In first phase, it transferring all memory pages. In second phase, it maintain the history of each pages and according to this it takes a decision whether to send this page or not. After the second phase AR forecasting approach is use to predict the page behavior in the next interval which helps to determine either to send this page or not. CloudSim simulation tools is utilized to estimate the overall performance of the process. Experiment result says that proposed approach minimize Total migration Time (TMT), Downtime (DT).

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