Multi-Objective Based Integrated Task Scheduling In Cloud Computing

Abstract

Task scheduling problem in cloud computing can be seen as optimal assignment of tasks over available set of resources. Cloud Computing resources are heterogeneous, distributed and dynamic in nature. Therefore Scheduling in cloud computing is the NP-hard category of problem. Optimal solution is difficult to achieve while considering task scheduling with multiple conflicting objectives. The proposed work presents a novel scheduling algorithm called multi-objective based Integrated Task scheduling in cloud computing which aims for solving task scheduling problem of cloud computing. The goal of the proposed work is to provide a solution that is based on the multiple objectives execution time, execution cost and load balancing while aiming that each objective is satisfied equally and no single objective dominates the solution. The result obtains show that the proposed approach presents improvement in CPU utilization and reduction in make span parameters.