Workload prioritization and optimal task scheduling in cloud: introduction to hybrid optimization algorithm
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11276-024-03793-3.pdf
Reference30 articles.
1. Alsadie, D. (2021). A metaheuristic framework for dynamic virtual machine allocation with optimized task scheduling in cloud data centers. IEEE Access, 9, 74218–74233.
2. Shukri, S. E., Al-Sayyed, R., Hudaib, A., & Mirjalili, S. (2021). Enhanced multi-verse optimizer for task scheduling in cloud computing environments. Expert Systems with Applications, 168, 114230.
3. Velliangiri, S., Karthikeyan, P., Xavier, V. A., & Baswaraj, D. (2021). Hybrid electro search with genetic algorithm for task scheduling in cloud computing. Ain Shams Engineering Journal, 12, 631–639.
4. Mahmoud, H., Thabet, M., Khafagy, M. H., & Omara, F. A. (2022). Multiobjective task scheduling in cloud environment using decision tree algorithm. IEEE Access, 10, 36140.
5. Alsadie, D. (2021). TSMGWO: Optimizing task schedule using multi-objectives grey wolf optimizer for cloud data centers. IEEE Access, 9, 37707.
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