DocumentCode
53830
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
Volume
63
Issue
11
fYear
2014
fDate
Nov. 2014
Firstpage
2647
Lastpage
2660
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;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/TC.2013.148
Filename
6565979
Link To Document