Towards Profitable Virtual Machine Placement in the Data Center

Author

Shi, Weiming ; Hong, Bo

Author_Institution

Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA

fYear

2011

fDate

5-8 Dec. 2011

Firstpage

138

Lastpage

145

Abstract

Motivated by the limit on the power usage effectiveness (PUE) of the data centers, the potential benefit of the consolidation, and the impetus of achieving maximum return on investment (ROI) on the cloud computing market, we investigate VM placement in the data center, formulate a multi-level generalized assignment problem (MGAP) for maximizing the profit under the service level agreement and the power budget constraint based on the model of a virtualized data center, and solve it with a first-fit heuristic. Numerical simulations show that the first-fit heuristic is effective in solving the large-scale instances of the MGAP with the sampled simulation setups.

Keywords

cloud computing; computer centres; cost-benefit analysis; investment; marketing data processing; numerical analysis; virtual machines; cloud computing market; first-fit heuristic; maximum return on investment; multilevel generalized assignment problem; numerical simulations; power budget constraint; power usage effectiveness; profit maximization; sampled simulation setups; service level agreement; virtual machine placement; virtualized data center; Cloud computing; Computational modeling; Data models; Measurement; Planning; Power demand; Pricing; Data Center; Multi-level Generalized Assignment Problem; Profit Maximization; VM Placement;

fLanguage

English

Publisher

ieee

Conference_Titel

Utility and Cloud Computing (UCC), 2011 Fourth IEEE International Conference on

Conference_Location

Victoria, NSW

Print_ISBN

978-1-4577-2116-8

Type

conf

DOI

10.1109/UCC.2011.28

Filename

6123491