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2016 IEEE 9th International Conference on Cloud Computing (2016)
San Francisco, California, USA
June 27, 2016 to July 2, 2016
ISSN: 2159-6190
ISBN: 978-1-5090-2619-7
pp: 790-797
Cloud computing promises high performance and cost-efficiency, however, most cloud infrastructures operate at low utilization which greatly adhere cost effectiveness. Previous works focus on seeking efficient virtual machine (VM) consolidation strategies to increase the utilization of virtual resources in production environment, while overlooking the under-utilization of backup virtual resources. We propose a heuristic time sharing policy derived from the restless multi-armed bandit problem. The proposed policy achieves increasing backup virtual resources utilization while providing high availability. The experiment results show that the traditional 1:1 backup provision can be extended to 1:M (M>>1) between the backup VM and the service VMs, and the utilization of backup VMs can be enhanced significantly.
Cloud computing, Markov processes, Maintenance engineering, Google, Dynamic scheduling, Computer bugs

X. Li, Y. Qi, P. Chen and X. Zhang, "Optimizing Backup Resources in the Cloud," 2016 IEEE 9th International Conference on Cloud Computing(CLOUD), San Francisco, California, USA, 2016, pp. 790-797.
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