Energy saving virtual machine allocation in cloud computing
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | Proceedings - International Conference on Distributed Computing Systems |
Pages | 132-137 |
Publication status | Published - Jul 2013 |
Conference
Title | 33rd IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2013 |
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Place | United States |
City | Philadelphia, PA |
Period | 8 - 11 July 2013 |
Link(s)
Abstract
In the data center, a server can work in either active state or power-saving state. The power consumption in the power-saving state is almost 0, thus it is always desirable to allocate as many VMs as possible to some active servers and leave the rest to power-saving state in order to reduce the energy consumption of the data center. In this paper, we study such a VM allocation problem. Given a set VMs and a set of servers in a data center, each VM has a resource demand (CPU, memory, storage) and a starting time and a finishing time, and each server has resource capacity. There is an additional energy cost for a server to switch from power-saving state to active state. The servers are non-homogeneous. The problem of our concern is to allocate the VMs onto servers, such that the VMs resource demands can be met and the total energy consumption of servers is minimized. The problem is formulated as a boolean integer linear programming problem. A heuristic algorithm is proposed to solve the problem. Extensive simulations have been conducted to demonstrate our proposed method can significantly save the energy consumption in data centers. © 2013 IEEE.
Research Area(s)
- Cloud Computing, Data Center, Energy Saving, Virtual Machine Allocation
Citation Format(s)
Energy saving virtual machine allocation in cloud computing. / Xie, Ruitao; Jia, Xiaohua; Yang, Kan et al.
Proceedings - International Conference on Distributed Computing Systems. 2013. p. 132-137 6679876.Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review