An Enhanced Optimization Technique for Scheduling In Cloud Based Applications

Abstract

Cloud offers more services which is a good choice for high resource demanding. In the complex and oversized network, the utilization of the available computation resources like processor, storage, data and services and so on around the world in commercialized manner is possible with the help of cloud computing. But the scarcity of resources requires the effective scheduling algorithm to schedule the task in effective manner by reducing cost of execution and achieve resource utilization effectively. Many scheduling mechanisms have been developed by researchers such as Cost and Energy Aware Scheduling, Cloud Based Workflow Scheduling, Multi Objective Scheduling Method Based on Ant Colony Optimization, etc. Fuzzy based optimization has proposed which makes the scheduling decision by evaluating entire group of task in job queue manner. The simulation result shows cost of execution and resource utilization are independent of each other which are executed separately by different algorithm.