Resource-Aware Load Balancing Scheme using Multi-objective Optimization in Cloud Computing

Cloud computing is a service based, on-demand, pay per use model consisting of an interconnected and virtualizes resources delivered over internet. In cloud computing, usually there are number of jobs that need to be executed with the available resources to achieve optimal performance, least possible total time for completion, shortest response time, and efficient utilization of resources etc. Hence, job scheduling is the most important concern that aims to ensure that use’s requirement are properly and correctly satisfied by cloud infrastructure. Most of the task scheduling algorithm developed in cloud computing target single criteria which fails to provide efficient resource utilization. So, to enhance the system performance and increase resource utilization it is must to consider multiple criteria. This paper proposes a multiobjective scheduling algorithm that considers wide variety of attributes in cloud environment. The paper aims to improve the performance by reducing the load of a virtual machine (VM) by using Load Balancing Method. Finally, it optimizes the resource utilization by using Resource Aware Scheduling Algorithm involving combination of Minmax and Max-Min strategy.