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Volume : XIV, Issue : IV, May - 2024 A METAHEURISTIC-DRIVEN SCHEDULING FRAMEWORK FOR EFFICIENT PROGRESS MANAGEMENT IN CLOUD ENVIRONMENTS Nagaraj M. S/o Mahabaleshwar T. , Dr. Milind Singh By : Laxmi Book Publication Abstract : Efficient task scheduling in cloud environments is essential for optimizing resource utilization, reducing execution time, and meeting service-level agreements (SLAs). However, traditional scheduling methods often struggle to cope with the dynamic, heterogeneous, and large-scale nature of modern cloud systems. Keywords : Article : Cite This Article : Nagaraj M. S/o Mahabaleshwar T. , Dr. Milind Singh(2024). A METAHEURISTIC-DRIVEN SCHEDULING FRAMEWORK FOR EFFICIENT PROGRESS MANAGEMENT IN CLOUD ENVIRONMENTS. Indian Streams Research Journal, Vol. XIV, Issue. IV, http://isrj.org/UploadedData/11309.pdf References : - 1. R. Buyya, C. S. Yeo, S. Venugopal, J. Broberg, and I. Brandic, “Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility,” Future Generation Computer Systems.
- 2. S. Pandey, L. Wu, S. M. Guru, and R. Buyya, “A particle swarm optimization-based heuristic for scheduling workflow applications in cloud computing environments,” in Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications.
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