Virtual Machine Scheduling Algorithm Based on Energy-Aware in Cloud Data Center

doi:10.3969/j.issn.1006-2475.2016.04.015

Abstract

Abstract:

We propose a virtual machine scheduling algorithm based on energy consumption (VMSA_EA) for high energy consumption problem in cloud data center. The algorithm not only considers how to reduce energy consumption, but also considers how to reduce the cost of virtual machine migration. The virtual machine scheduling in cloud data center is divided into two stages by using VMSA_EA algorithm: virtual machine deployment and virtual machine migration. In different stages we use different algorithms to solve it. Experimental results show that VMSA_EA can schedule and manage effectively and VMSA_EA can better reduce energy consumption and the cost of virtual machine migration compared to other similar algorithms.

Key words:

text-indent: 21pt"> virtual machine scheduling, energy consumption, virtual machine migration

CLC Number:

TP311

ZHU Ya-hui, CHEN Dan, ZHUANG Yi. Virtual Machine Scheduling Algorithm Based on Energy-Aware in Cloud Data Center[J]. Computer and Modernization, 2016, 0(4): 74-78.

References

［1］江代有. 云计算技术综述［J］. 计算机与现代化, 2012(5):71-73.

［2］ Hooper A. Green computing［J］. Communication of the ACM, 2008,51(10):11-13.

［3］ Siegele L. Let it rise: A special report on corporate IT［N］. London:Economist Newspaper, 2008.

［4］ Dong Jiankang, Wang Hongbo, Cheng Shiduan. Energy-performance tradeoffs in IaaS cloud with virtual machine scheduling［J］. China Communications, 2015,12(2):155-166.

［5］ BeloglazoV A, Abawajy J, Buyya R. Energy-aware resource〖JP〗 allocation heuristics for efficient management of data centers for cloud computing［J］. Future Generation Computer Systems, 2012,28(5):755-768.

［6］ Hieu N T, Francesco D M, Jaaski A Y. A virtual machine placement algorithm for balanced resource utilization in cloud data centers［C］// 2014 IEEE 7th International Conference on Cloud Computing(CLOUD). 2014:474-481.

［7］林伟伟,齐德昱. 云计算资源调度研究综述［J］. 计算机科学, 2012(10):1-6.

［8］ Laszewski G V, Wang Lizhe, Younge A J, et al. Power-aware scheduling of virtual machines in DVFS-enabled clusters［C］// CLUSTER'09. IEEE International Conference on Cluster Computing and Workshops. 2009:1-10.

［9］ Shayeji M H, Samrajesh M D. An energyaware virtual machine migration algorithm［C］// 2012 International Conference on Advances in Computing and Communications (ICACC). 2012:242-246.

［10］Chen Chuan, Zhang Huaxiang, Yu Zhilou, et al. A new live virtual machine migration strategy［C］// 2012 International Symposium on Information Technology in Medicine and Education(ITME). 2012,1:173-176.

［11］Tian Wenhong, Zhao Yong, Zhong Yuanliang, et al. A dynamic and integrated loadbalancing scheduling algorithm for Cloud datacenters［C］// 2011 IEEE International Conference on Cloud Computing and Intelligence Systems(CCIS). 2011:311-315.

［12］Beloglazov A, Abawajy J, Buyya R. Energyaware resource allocation heuristics for efficient management of data centers for Cloud computing［J］. Future Generation Computer Systems, 2012,28(5):755-768.

［13］Huai Weicheng, Qian Zhuzhong, Li Xin, et al. Towards energy efficient data centers: A DVFS-based request scheduling perspective［C］// 2013 7th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing(IMIS). 2013:299-306.

［14］Xiong Fu, Zhou Chen. Virtual machine selection and placement for dynamic consolidation in Cloud computing environment［J］. Frontiers of Computer Science, 2015,9(2):322-330.

［15］Beloglazov A, Abawajy J, Buyya R. Energyaware resource allocation heuristics for efficient management of data centers for Cloud computing［J］. Future Generation Computer Systems, 2012,28(5):755-768.

［16］Beloglazov A, Buyya R. Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers［J］. Concurrency and Computation: Practice and Experience, 2012,24(13):1397-1420.
［17］Li Hongyou, Wang Jiangyong, Peng Jian, et al. Energy-aware scheduling scheme using workload-aware consolidation technique in cloud data centres［J］. China Communications, 2013,10(12):114-124.

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