Abstract
The rapid development of the Internet and cloud computing are giving people high quality online services, which are usually deployed in cloud data centers. While the clouds are not always failure-free, in case of a power failure in a cloud data center, it is important to reduce the cost of disaster recovery meanwhile ensuring cloud service performance. To solve the service recovery problem of cloud data center under a power outage, in this paper, we propose an online solution based on hybrid cloud framework, which resolves the service workload management optimization between private cloud and public one. By using Lyapunov optimization technology, the long-term online optimization problem can be transformed into a general one. Besides, we present a power-aware on-line control algorithm (POCA) which achieves a trade-off between power consumption and cost, and the simulation results show that the proposed POCA algorithm can give a better and efficient performance.
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References
QPS Team: Average Cost of Data Center Outages: \$627,418 PER INCIDENT. Quality Power Solutions Ltd, Location (2015)
Aliyun Data Center in HK Suffers 14-Hour Disruption. http://english.caixin.com/2015-06-24/100822037.html. Accessed June 2015
AWS Direct Connect Pricing. https://aws.amazon.com/directconnect/pricing
Zhou, Z., et al.: Carbon-aware load balancing for geo-distributed cloud services. In: 2014 IEEE 21st International Symposium on Modeling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS), Location, pp. 232–241. IEEE (2013)
Kleinrock, L.: Queueing Systems, Volume 2: Computer Applications. Wiley, New York (1976)
Little, J.D.C., Graves, S.C.: Little’s law. In: Chhajed, D., Lowe, T.J. (eds.) Building Intuition, pp. 81–100. Springer, Boston (2008). https://doi.org/10.1007/978-0-387-73699-0_5
Neely, M.J.: Stochastic network optimization with application to communication and queueing systems. Synth. Lect. Commun. Netw. 31, 1–211 (2010)
Acknowledgement
The work is supported in part by the national key research and development program of China under grant No. 2019YFB2102200, National Natural Science Foundation of China under Grant No. 61672154, 61672370, 61972086.
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Xia, Y., Xu, X., Wang, W., He, X., Wu, W., Fang, X. (2020). Recovering Cloud Services Using Hybrid Clouds Under Power Outage. In: Yu, Z., Becker, C., Xing, G. (eds) Green, Pervasive, and Cloud Computing. GPC 2020. Lecture Notes in Computer Science(), vol 12398. Springer, Cham. https://doi.org/10.1007/978-3-030-64243-3_37
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DOI: https://doi.org/10.1007/978-3-030-64243-3_37
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