Adaptive Resource Provisioning for the Cloud Using Online Bin Packing

被引:160
作者
Song, Weijia [1 ]
Xiao, Zhen [1 ]
Chen, Qi [1 ]
Luo, Haipeng [2 ]
机构
[1] Peking Univ, Dept Comp Sci, Beijing 100871, Peoples R China
[2] Princeton Univ, Dept Comp Sci, Princeton, NJ 08540 USA
基金
中国国家自然科学基金;
关键词
Cloud computing; virtualization; green computing;
D O I
10.1109/TC.2013.148
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Data center applications present significant opportunities for multiplexing server resources. Virtualization technology makes it easy to move running application across physical machines. In this paper, we present an approach that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers actively used. We abstract this as a variant of the relaxed on-line bin packing problem and develop a practical, efficient algorithm that works well in a real system. We adjust the resources available to each VM both within and across physical servers. Extensive simulation and experiment results demonstrate that our system achieves good performance compared to the existing work.
引用
收藏
页码:2647 / 2660
页数:14
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