Author : Yashasvi, Jai Bhagwan
Date of Publication :5th January 2025
Abstract: Cloud computing has gained significant popularity due to its ability to provide shared computing resources over the internet. As the demand for cloud services increases, task scheduling plays a crucial role in resource utilization. This paper examines heuristic and meta-heuristic methods for task scheduling in cloud environments such as First come First Serve (FCFS), Grey Wolf Optimizer (GWO), Jaya, Min-Min, Particle Swarm Optimization (PSO), Priority-Based Task Scheduling Algorithm, and Round-Robin (RR). These algorithms aim to improve resource utilization, reduce response time, efficient makespan, etc. The scientists conduct an examination of the goals, benefits, and drawbacks of each algorithm under specific environments.
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