Reinforcement Learning to Improve Resource Scheduling and Load Balancing in Cloud Computing-Reference-Cited by-同舟云学术

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Reinforcement Learning to Improve Resource Scheduling and Load Balancing in Cloud Computing

Published:2023-01-31 Issue:2 Volume:4 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Kaveri Parag Ravikant,Lahande Prathamesh

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s42979-022-01609-9.pdf

Reference22 articles.

1. Andrew A. Reinforcement learning. Kybernetes. 1998;27(9):1093–6.

2. Armbrust M, Fox A, Griffith R, Joseph AD, Katz R, Konwinski A, Lee G, Patterson D, Rabkin A, Stoica I, Zaharia M. A view of cloud computing. Commun ACM. 2010;53:50–8.

3. Bo Y, Feng L, Xiaoyu Z. Cloud computing task scheduling algorithm based on dynamic priority. In: 2022 IEEE 6th information technology and mechatronics engineering conference (ITOEC) 2022 Mar 4. IEEE; 2022.

4. Chen W, Deelman, E. WorkflowSim: a toolkit for simulating scientific workflows in distributed environments. In: 2012 IEEE 8th international conference on e-science. 2012.

5. Dillon T, Wu C, Chang E. Cloud computing: issues and challenges. In: 2010 24th IEEE international conference on advanced information networking and applications. 2010.

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