A novel deep reinforcement learning scheme for task scheduling in cloud computing
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s10586-022-03630-2.pdf
Reference35 articles.
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3. Singh, P., Dutta, M., Aggarwal, N.: A review of task scheduling based on meta-heuristics approach in cloud computing. Knowl. Inf. Syst. 52(1), 1–51 (2017)
4. Madni, S.H.H., Abd Latiff, M.S., Abdullahi, M., Abdulhamid, S.I.M., Usman, M.J.: Performance comparison of heuristic algorithms for task scheduling in IaaS cloud computing environment. PLoS ONE 12(5), e0176321 (2017)
5. Shafiq, D.A., Jhanjhi, N.Z., Abdullah, A., Alzain, M.A.: A load balancing algorithm for the data centres to optimize cloud computing applications. IEEE Access 9, 41731–41744 (2021)
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