A Heuristic Time Sharing Policy for Backup Resources in Cloud System
A Heuristic Time Sharing Policy for Backup Resources in Cloud System
复制标题
云系统备份资源启发式分时策略
DOI：
10.3837/tiis.2016.07.009
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发表时间：
2016-07
影响因子：
1.5
通讯作者：
Zhang, Xiaohui
中科院分区：
文献类型：
--
作者：
Li, Xinyi;Qi, Yong;Chen, Pengfei;Zhang, Xiaohui
云计算有望实现高性能和成本效益。然而，大多数云基础设施的利用率较低，这极大地影响了成本效益。先前的研究工作侧重于寻求有效的虚拟机（VM）整合策略
Cloud computing promises high performance and cost-efficiency. However, most cloud infrastructures operate at a low utilization, which greatly adheres cost effectiveness. Previous works focus on seeking efficient virtual machine (VM) consolidation strategies to increase the utilization of virtual resources in production environment, but overlook the under-utilization of backup virtual resources. We propose a heuristic time sharing policy of backup VMs derived from the restless multi-armed bandit problem. The proposed policy achieves increasing backup virtual resources utilization and providing high availability. Both the results in simulation and prototype system experiments show that the traditional 1:1 backup provision can be extended to 1:M (M≫1) between the backup VMs and the service VMs, and the utilization of backup VMs can be enhanced significantly.
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DOI：
10.1109/mascots.2010.12
发表时间：
2010-08
期刊：
2010 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
影响因子：
--
作者：
Zhenhuan Gong;Xiaohui Gu
通讯作者：
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DOI：
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发表时间：
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期刊：
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影响因子：
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DOI：
10.1109/icdcs.2011.72
发表时间：
2011-06
期刊：
2011 31st International Conference on Distributed Computing Systems
影响因子：
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作者：
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E. Bin;O. Biran;O. Boni;Erez Hadad;E. K. Kolodner;Y. Moatti;D. Lorenz
DOI：
--
发表时间：
2009-06
期刊：
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影响因子：
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Akshat Verma;Gargi Dasgupta