Virtual Machines Scheduling Algorithm Based on Multi-Objective Optimization in Cloud Computing

Jian Rong Zhu; Yi Zhuang; Jing Li; Wei Zhu

doi:10.4028/www.scientific.net/AMR.1046.508

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1046Virtual Machines Scheduling Algorithm Based on...

Virtual Machines Scheduling Algorithm Based on Multi-Objective Optimization in Cloud Computing

Abstract:

How to reduce energy consumption while improving utility of datacenter is one of the key technologies in the cloud computing environment. In this paper, we use energy consumption and utility of data center as objective functions to set up a virtual machine scheduling model based on multi-objective optimization VMSA-MOP, and design a virtual machine scheduling algorithm based on NSGA-2 to solve the model. Experimental results show that compared with other virtual machine scheduling algorithms, our algorithm can obtain relatively optimal scheduling results.

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Periodical:

Advanced Materials Research (Volume 1046)

Pages:

508-511

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1046.508

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Online since:

October 2014

Authors:

Jian Rong Zhu*, Yi Zhuang, Jing Li, Wei Zhu

Keywords:

Cloud Computing, Multi-Objective Optimization (MOP), NSGA2, Virtual Machine Scheduling

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* - Corresponding Author

References

[1] Danielson, Krissi. Distinguishing cloud computing from utility computing., Ebizq. net. (retrieved August 22, 2010)(2008).

Google Scholar

[2] Stevens, Holly, and Christy Pettey. Gartner says cloud computing will be as influential as e-business., Gartner Newsroom, Online Ed(2008).

Google Scholar

[3] Teng F, Magoulès F. A new game theoretical resource allocation algorithm for cloud computing[M]/Advances in Grid and Pervasive Computing. Springer Berlin Heidelberg, 2010: 321-330.

DOI: 10.1007/978-3-642-13067-0_35

Google Scholar

[4] Xu L, Zeng Z B, Yao C. Study on virtual resource allocation optimization in cloud computing environment[J]. Journal of China Institute of Communications, 2012, 33.

Google Scholar

[5] Wang Z, Shuang K, Yang L, et al. Energy-aware and revenue-enhancing Combinatorial Scheduling in Virtualized of Cloud Datacenter[J]. JCIT, 2012, 7(1): 62-70.

DOI: 10.4156/jcit.vol7.issue1.8

Google Scholar

[6] Srinivas N, Deb K. Muiltiobjective optimization using nondominated sorting in genetic algorithms[J]. Evolutionary computation, 1994, 2(3): 221-248.

DOI: 10.1162/evco.1994.2.3.221

Google Scholar