International Journal of Computing and Corporate Research (IJCCR)
In this paper, the authors focused on the developed and implementation of a unique and effective approach in the cloud infrastructure for the higher throughput and less cost in the job scheduling. The proposed algorithm is implemented and integrated using genetic algorithm for optimization of the results including the cost and performance factor. The system is generating efficient results in terms of the optimal solution when executed using genetic algorithm. In this approach, the technique is efficient also in terms of the execution and turnaround time despite of the number of iterations. The limitations may be included regarding this paper in terms of its further enhancement using assorted metaheuristics. The proposed system gives better results in executed using genetic algorithm that is one of the prominent metaheuristic techniques.