An Efficient Approach to Genetic Algorithm for Task Scheduling in Cloud Computing Environment
Cloud computing is recently a booming area and has been emerging as a commercial reality in the information technology domain. Cloud computing represents supplement, consumption and delivery model for IT services that are based on internet on pay as per usage basis. The scheduling of the cloud services to the consumers by service providers influences the cost benefit of this computing paradigm. In such a scenario, Tasks should be scheduled efficiently such that the execution cost and time can be reduced. In this paper, the authors proposed a meta-heuristic based scheduling, which minimizes execution time and execution cost as well.