Abstract
As cloud computing gains a lot of attention that provides various service abilities, large-scale datacenters become dominant components of the cloud infrastructure. Huge energy consumption appears to be nonignorable leading to significant cost and also bad impacts on the global environment. How to efficiently manage the services while keeping energy consumption under control is an important problem. According to the analysis of prior representative literature, this paper makes an overview of energy-aware resource management approaches. The basic architecture of cloud datacenters and virtualization technology is introduced. Then, we conduct a survey of energy-aware approaches for adaptive resource management of such cloud environments. We also focused on some studies of renewable energy usage for green datacenters. Finally, the research problems are summarized and analyzed synthetically and possible future directions are given.
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Acknowledgments
This research is funded in part by National Natural Science Foundation of China (No. 61363019, No. 60963005) and Tsinghua—Tencent Joint Laboratory for Internet Innovation Technology (No. 2011-1).
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Wang, X., Liu, X., Fan, L., Huang, J. (2014). Energy-Aware Resource Management and Green Energy Use for Large-Scale Datacenters: A Survey. In: Patnaik, S., Li, X. (eds) Proceedings of International Conference on Computer Science and Information Technology. Advances in Intelligent Systems and Computing, vol 255. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1759-6_64
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DOI: https://doi.org/10.1007/978-81-322-1759-6_64
Publisher Name: Springer, New Delhi
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