Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment

被引:498
作者
Xiao, Zhen [1 ]
Song, Weijia [1 ]
Chen, Qi [1 ]
机构
[1] Peking Univ, Dept Comp Sci, Beijing 100871, Peoples R China
基金
中国国家自然科学基金;
关键词
Cloud computing; resource management; virtualization; green computing;
D O I
10.1109/TPDS.2012.283
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
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 this paper, we present a system that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers in use. We introduce the concept of "skewness" to measure the unevenness in the multidimensional resource utilization of a server. By minimizing skewness, we can combine different types of workloads nicely and improve the overall utilization of server resources. 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.
引用
收藏
页码:1107 / 1117
页数:11
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