Utilization and Cost based Performance Evaluation of Conventional Meta-Heuristic Scheduling Algorithms for Hybrid Cloud Environment

Cloud computing has gained a lot of popularity in recent times for the execution of data intensive or compute intensive tasks by scheduling them on cloud resources. Cloud architecture offers a huge pool of sharable resources that is easily accessible over internet through anywhere and also supports the pay per use model for its resources. However, scheduling tasks to cloud resources is a risky and challenging task as there are lot of QoS constraints associated with it. Also, the dynamic nature of the cloud makes the problem even more challenging. This article has tried to explore the four conventional meta-heuristic task scheduling algorithms, BSO, PSO, GA and DE; and, presented a statistical evaluation of the performance of these algorithms based on two parameters, utilization and cost. The results obtained are tabularly listed and graphically explained for better understanding.