earticle

영어

The application of simulation-optimization technique is merged with viable reality for computation of the scheduling process in a cloud environment. The optical systems are needed to be scheduled for requirement satisfaction of IOT (Internet of Things) services and demand services of QoS. Normally in the rule based scheduling algorithm are widely used to schedule the sequence process efficiently. The significance of environmental factors is simulated with meta-heuristics scheduling and processed under an accurate hypothesis of stochastic processing. In order to overcome the issues of scheduling a heuristic approach is proposed with the function to obtain a feasible high quality scheduling solution. The proposed heuristic algorithm, named INSMG, is performed and analyzed with the other heuristic algorithm. The analysis result shows the proposed algorithm efficiency and possible alternative for solving scheduling issues. This paper aims to provide a more possibilities of sequences, minimize makespan and solutions to solve the scheduling problems. Moreover the scheduling process is evaluated by the improved meta-heuristic GA for better schedules to prove the efficiency and better performances than the existing system.