中国科学院重庆绿色智能技术研究院机构知识库

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	A novel coalitional game-theoretic approach for energy-aware dynamic VM consolidation in heterogeneous cloud datacenters
	Xiao, Xuan1; Xia, Yunni1; Zeng, Feng4; Zheng, Wanbo2; Sun, Xiaoning1; Peng, Qinglan1; Guo, Yu3; Luo, Xin5
	2019
摘要	Server consolidation technique plays an important role in energy management and load-balancing of cloud computing systems. Dynamic virtual machine (VM) consolidation is a promising consolidation approach in this direction, which aims at using least active physical machines (PMs) through appropriately migrating VMs to reduce resource consumption. The resulting optimization problem is well-acknowledged to be NP-hard optimization problems. In this paper, we propose a novel merge-and-split-based coalitional game-theoretic approach for VM consolidation in heterogeneous clouds. The proposed approach first partitions PMs into different groups based on their load levels, then employs a coalitional-game-based VM consolidation algorithm (CGMS) in choosing members from such groups to form effective coalitions, performs VM migrations among the coalition members to maximize the payoff of every coalition, and close PMs with low energy-efficiency. Experimental results based on multiple cases clearly demonstrate that our proposed approach outperforms traditional ones in terms of energy-saving and level of load fairness. © Springer Nature Switzerland AG 2019.
语种	英语
DOI	10.1007/978-3-030-23499-7_7
会议(录)名称	26th International Conference on Web Services, ICWS 2019 held as part of the Services Conference Federation, SCF 2019
页码	95-109
收录类别	EI
会议地点	San Diego, CA, United states
会议日期	June 25, 2019 - June 30, 2019