Task Scheduling in Cloud Infrastructure using Optimization Technique Genetic Algorithm

In cloud infrastructure, job scheduling is the main critical issue to be solved. Effective and efficient task scheduling algorithm needed to met users requirement and resolve the complexity in cloud environment, Data of resources are shared among several cloud users. Task scheduling comes under NP-complete problem to apply appropriate scheduling policy is major concern. Many researchers consider this problem with fixed length of time which cannot be applicable in dynamic world computing. Our research aim is to consider the number of instruction execution of processor and Grain_size of work of piece. Through the simulation experiment the proposed algorithm helps to improve the efficiency & effectiveness of scheduling as well as to minimize the finished time in (ms).