Performance Evaluation of Task Scheduling in Cloud Environment Using Soft Computing Algorithms

Cloud computing is a new computing technology which is developing drastically. Scheduling becomes more crucial and essential in this pay as you go model. Analyzing and evaluating the performance of various heuristics and Meta heuristics scheduling algorithms is a crucial work in this large scale distributed systems. Though various scheduling algorithms exist, the paper exposes a comparative analysis and performance of 2 soft computing algorithms in cloud computing. The algorithms considered are Bee Colony Optimization (BCO), and Particle Swarm Optimization (PSO). The algorithms performance is evaluated using cloudsim simulator to provide Quality of Service (QoS) in this task to resource mapping. The measures considered for evaluation are makespan and resource utilization.

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