Title :
Adaptive Resource Provisioning for the Cloud Using Online Bin Packing
Author :
Weijia Song ; Zhen Xiao ; Qi Chen ; Haipeng Luo
Author_Institution :
Dept. of Comput. Sci., Peking Univ., Beijing, China
Abstract :
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.
Keywords :
bin packing; cloud computing; computer centres; green computing; resource allocation; virtual machines; virtualisation; application demand; cloud adaptive resource provisioning; data center applications; dynamic data center resource allocation; green computing; physical machines; physical servers; relaxed online bin packing problem; server number optimization; server resource multiplexing; virtual machine; virtualization technology; Approximation algorithms; Approximation methods; Cloud computing; Green computing; Heuristic algorithms; Resource management; Scheduling algorithms; Virtualization; Cloud computing; green computing; virtualization;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.2013.148