A Green energy-efficient scheduler for cloud data centers

Author:

Amoon Mohammed,El. Tobely Tarek E.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference25 articles.

1. Buyya, R., Beloglazov, A., Abawajy, J.H.: Energy-efficient management of data center resources for Cloud computing: a vision, architectural elements, and open challenges. In: International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA), 2 vols., 12–15 July 2010, Las Vegas, Nevada, USA, pp. 6–20 (2010)

2. Koomey, J.: Growth in Data Center Electricity Use 2005 to 2010. A Report by Analytical Press, Completed at the Request of the New York Times, p. 9 (2011)

3. Duan, H., Chen, C., Min, G., Wu, Y.: Energy-aware scheduling of virtual machines in heterogeneous cloud computing systems. Future Gener. Comput. Syst. (2016). https://doi.org/10.1016/j.future.2016.02.016

4. Shehabi, A. et al.: United States Data Center Energy Usage Report (2016)

5. Wu, C.-M., Chang, R.-S., Chan, H.-Y.: A Green energy-efficient scheduling algorithm using the DVFS technique for cloud datacenters. Future Gener. Comput. Syst. 37, 141–147 (2014)

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