Energy-Saving I/O software for Cloud Computing

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In this work, we have evaluated performance of the existing I/O scheduler in virtualized environment. Our evaluation has demonstrated that the existing I/O scheduler have not been able to provide enough performance in virtualized environment. In order to analyze the behavior of the I/O schedulers, we have developed I/O scheduler analyzing system. Analyses with the system have clearly shown the reason of their insufficient performance.After the analyses, we have proposed a method for improving I/O performance in virtualized environment. Our performance evaluation has demonstrated that the proposed method has been able to improve performance.