Bio-Inspired Crossover Cosine Swarm Optimization Algorithm Based Task Scheduling for Quality of Service Improvement Under Cloud Environment
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Modeling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11265-023-01900-9.pdf
Reference29 articles.
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2. Alsmadi, D., & Prybutok, V. (2018). Sharing and storage behavior via cloud computing: Security and privacy in research and practice. Computers in Human Behavior, 85, 218–226.
3. Tong, Z., Chen, H., Deng, X., Li, K., & Li, K. (2020). A scheduling scheme in the cloud computing environment using deep Q-learning. Information Sciences, 512, 1170–1191.
4. Jena, U. K., Das, P. K., & Kabat, M. R. (2022). Hybridization of meta-heuristic algorithm for load balancing in cloud computing environment. Journal of King Saud University-Computer and Information Sciences, 34(6), 2332–2342.
5. Belgacem, A., Beghdad-Bey, K., & Nacer, H. (2018, April). Task scheduling in cloud computing environment: a comprehensive analysis. In International conference on computer science and its applications (pp. 14–26). Springer, Cham.
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