An Efficient Comparison Analysis of Scheduling Algorithms with a base of Genetic algorithm to Optimization technique of Ant colony and Artificial Bee colony

Abstract

Day by Day so many Task scheduling algorithms are booming in the Cloud computing field. However they are having their own limitations. Now we are in the state to analyze all the algorithms and find out the better one for our efficient output. We know that Genetic Algorithm is one of the powerful metaheuristic Algorithms in task scheduling. But due to the random selection of parameters the process quality is not high. So we go for the combination of two or more optimization Algorithms counts on less execution time, maximum throughput, less makespan, full resource utilization, better quality of service, maximum energy consumption, Quick response time and less cost. In this paper we can analysis Genetic optimization hybrid ACO Algorithm, and genetic algorithm Hybrid with ABC Algorithm .Finally the analysis is tabulated for finding the better Algorithm.