期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
卷号：4
期号：7
页码：6168
DOI：10.15680/IJIRSET.2015.0407171
出版社：S&S Publications
摘要：Cloud computing allows business customers to scale up and down their resource usage based on needs.Many of the touted gains in the cloud model come from resource multiplexing through virtualization technology. In thispaper, we present a system that uses virtualization technology to allocate data center resources dynamically based onapplication demands and support green computing by optimizing the number of servers in use. We introduce theconcept of “skewness” to measure the unevenness in the multidimensional resource utilization of a server. Byminimizing skewness, we can combine different types of workloads nicely and improve the overall utilization of serverresources. We develop a set of heuristics that prevent overload in the system effectively while saving energy used.Trace driven simulation and experiment results demonstrate that our algorithm achieves good performance.
关键词：virtualization; types of cloud; migration; Usher framework; skewness algorithm
