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Adaptive Resource Provisioning for the Cloud Using Online Bin Packing - 2014

Adaptive Resource Provisioning for the Cloud Using Online Bin Packing

Research Area:  Cloud Computing


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.


Author(s) Name:  Weijia Song; Zhen Xiao; Qi Chen and Haipeng Luo

Journal name:   IEEE Transactions on Computers

Conferrence name:  

Publisher name:  IEEE

DOI:  10.1109/TC.2013.148

Volume Information:  Volume: 63, Issue: 11, Nov. 2014,Page(s): 2647 - 2660