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Uncertainty Aware T2SS Based Dyna-Q-Learning Framework for Task Scheduling in Grid Computing Cover

Uncertainty Aware T2SS Based Dyna-Q-Learning Framework for Task Scheduling in Grid Computing

Cybernetics and Information Technologies
Volume 22 (2022): Issue 3 (September 2022)
By: K. Bhargavi and  Sajjan G. Shiva  
Open Access
|Sep 2022

Authors

K. Bhargavi

bhargavik@sit.ac.in

Department of CSE, Siddaganga Institute of Technology, Tumakuru, India

Sajjan G. Shiva

Sshiva@memphis.edu

Department of CS, University of Memphis, Memphis, USA
DOI: https://doi.org/10.2478/cait-2022-0027 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 48 - 67
Submitted on: Mar 25, 2022
|
Accepted on: Jul 28, 2022
|
Published on: Sep 22, 2022
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Dyna-Q-Learning,
grid computing,
T2SS,
uncertainty,
performance
Related subjects:
Computer sciences,
Information technology

© 2022 K. Bhargavi, Sajjan G. Shiva, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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