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Self-Adaptive Multi-Cloud Job Scheduling Using Deep Reinforcement Learning and Workload Forecasting Cover

Self-Adaptive Multi-Cloud Job Scheduling Using Deep Reinforcement Learning and Workload Forecasting

Journal of Information Assurance and Security
Volume 21 (2026): Issue 6 (August 2026)
By: ,   and    
Open Access
|Oct 2026
Authors

Authors

Ashutosh Bhatt

ashutoshbhatt15@gmail.com

School of Science & Technology, SRHU, Dehradun, India

Ambika Aggarwal

ambika2488@gmail.com

School of Computer Science, UPES, Dehradun, India

Khushboo Jain

khushboojain2806@gmail.com

School of Computer Science, UPES, Dehradun, India
DOI: https://doi.org/10.2478/ias-2026-0024 | Journal eISSN: 1554-1029 | Journal ISSN: 1554-1010
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Language: English
Page range: 501 - 526
Published on: Oct 27, 2026
Published by: Cerebration Science Publishing Co., Limited
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Multi-cloud computing,
job scheduling,
deep reinforcement learning,
BiLSTM,
service-level agreement
Related subjects:
Computer sciences,
Fundamentals of computer sciences,
Theoretical computer sciences,
IT-security and cryptology

© 2026 Ashutosh Bhatt, Ambika Aggarwal, Khushboo Jain, published by Cerebration Science Publishing Co., Limited
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License.

Volume 21 (2026): Issue 6 (August 2026)
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