Optimizing scheduling in cloud using a meta-heuristic approach
Author:
Affiliation:
1. School of Computer and System Sciences, Jaipur National University, Jaipur 302017, Rajasthan, India
2. Department of Computer Sciences, Sri Balaji College of Engineering & Technology, Jaipur 302013, Rajasthan, India
Publisher
Taru Publications
Subject
Applied Mathematics,Algebra and Number Theory,Analysis
Link
https://www.tandfonline.com/doi/pdf/10.1080/09720529.2022.2133252
Reference11 articles.
1. Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends
2. SECURE : Efficient resource scheduling by swarm in cloud computing
3. Novel Selection Schemes for Cuckoo Search
4. G. Zhou, W. Tian, and R. Buyya, “Deep Reinforcement Learning-based Methods for Resource Scheduling in Cloud Computing: A Review and Future Directions.” arXiv, May 09, 2021. Accessed: Jul. 29, 2022. [Online]. Available: http://arxiv.org/abs/2105.04086
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