Storage Access Optimization with Virtual Machine Migration and Basic Performance Analysis of Amazon EC2
詩織 豊島, Saneyasu Yamaguchi, Masato Oguchi · 2010
Because of the increasing volume of information distribution and data accumulation by means of broadband networks, the amount of available information is increasing in recent years. In this study, we aim to acquire insufficient resources dynamically from cloud computing systems while basic computation is performed on its own local clusters. Scalable resource management is achieved by monitoring resource usage of own local cluster and insufficient resources are acquired dynamically from cloud computing. We have confirmed that the execution time becomes shorter with the migration of virtual machines even the cost of migration is taken into account, compared with the case of accessing data over a network when an I/O-intensive application is executed. Moreover, we have measured basic performance on Amazon Elastic Compute Cloud (EC2) as basic data of a real cloud computing system.