A Multi-objective Optimal Task Scheduling in Cloud Environment Using Cuckoo Particle Swarm Optimization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
http://link.springer.com/content/pdf/10.1007/s11277-019-06566-w.pdf
Reference19 articles.
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3. Dr, T., Jacob, P., & Pradeep, K. (2018). OCSA: Task scheduling algorithm in cloud computing environment. International Journal of Intelligent Engineering and Systems, 11(3), 271–279.
4. Somasundaram, T. S., & Govindarajan, K. (2014). CLOUDRB: A framework for scheduling and managing High-Performance Computing (HPC) applications in science cloud. Future Generation Computer Systems, 34, 47–65.
5. Zuo, L., et al. (2015). A multi-objective optimization scheduling method based on the ant colony algorithm in cloud computing. IEEE Access, 3, 2687–2699.
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