Abstract
Cloud computing technology achieves enormous scale by routing service requests from users to geographically distributed servers, typically located at different data centers. On one hand, energy consumption of data centers and networks has been receiving increasing attention in recent years. On the other hand, users require low latency during data access from data centers. In this paper, we tackle the problem of energy-efficient data placement in data centers, taking into account access latency, energy consumption of data centers and network transport. We propose two request-routing algorithms to determine the number of copies for each data chunk and the data centers accommodating the data chunk. Our simulation results have shown that the proposed algorithms are effective in terms of the tradeoff among the data access latency, the energy consumed by network transport and data centers.
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Acknowledgments
The work reported in this paper was supported in part by Anhui Provincial Natural Science Foundation (1608085MF142).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Fan, Y., Chen, J., Wang, L., Cao, Z. (2018). Energy-Efficient and Latency-Aware Data Placement for Geo-Distributed Cloud Data Centers. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-319-66628-0_44
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DOI: https://doi.org/10.1007/978-3-319-66628-0_44
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