A novel coalitional game-theoretic approach for energy-aware dynamic VM consolidation in heterogeneous cloud datacenters
文献类型：会议论文
| 作者 | Xiao, Xuan5; Xia, Yunni5; Zeng, Feng3; Zheng, Wanbo1; Sun, Xiaoning5; Peng, Qinglan5; Guo, Yu4; Luo, Xin2
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| 出版日期 | 2019 |
| 会议日期 | June 25, 2019 - June 30, 2019 |
| 会议地点 | San Diego, CA, United states |
| DOI | 10.1007/978-3-030-23499-7_7 |
| 页码 | 95-109 |
| 英文摘要 | 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. |
| 会议录 | 26th International Conference on Web Services, ICWS 2019 held as part of the Services Conference Federation, SCF 2019
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| 语种 | 英语 |
| 电子版国际标准刊号 | 16113349 |
| ISSN号 | 03029743 |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/9786]  |
| 专题 | 大数据挖掘及应用中心 |
| 作者单位 | 1.Data Science Research Center, Faculty of Science, Kunming University of Science and Technology, Kunming; 650500, China; 2.Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing; 400714, China 3.Discovery Technology (shenzhen) limited, Shenzhen, China; 4.School of Public Administration, Sichuan University, Chengdu; 610064, China; 5.Software Theory and Technology Chongqing Key Lab, Chongqing University, Chongqing; 400044, China; |
| 推荐引用方式 GB/T 7714 | Xiao, Xuan,Xia, Yunni,Zeng, Feng,et al. A novel coalitional game-theoretic approach for energy-aware dynamic VM consolidation in heterogeneous cloud datacenters[C]. 见:. San Diego, CA, United states. June 25, 2019 - June 30, 2019. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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