Energy-efficient virtual machine placement in heterogeneous cloud data centers: a clustering-enhanced multi-objective, multi-reward reinforcement learning approach-Reference-Cited by-同舟云学术

Energy-efficient virtual machine placement in heterogeneous cloud data centers: a clustering-enhanced multi-objective, multi-reward reinforcement learning approach

Published:2024-07-15 Issue: Volume: Page:
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Ghasemi Arezoo,Keshavarzi Amin

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10586-024-04657-3.pdf

Reference30 articles.

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3. Keshavarzi, A., Haghighat, A.T., Bohlouli, M.: Adaptive resource management and provisioning in the cloud computing: a survey of definitions, standards and research roadmaps. KSII Trans. Internet Inf. Syst. (2017). https://doi.org/10.3837/tiis.2017.09.006

4. Katal, A., Dahiya, S., Choudhury, T.: Energy efficiency in cloud computing data centers: a survey on software technologies. Clust. Comput. 26(3), 1845–1875 (2023)

5. Helali, L., Omri, M.N.: A survey of data center consolidation in cloud computing systems. Comput. Sci. Rev. 39, 100366 (2021)

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