A Model of Resource- Aware Load Balancing Scheme using Multi-objective Optimization in Cloud Environment

Abstract

Cloud computing is a new class of network based computing that provides the customers with computing resources as a service over a network on their demand. The unique concept of cloud computing creates new opportunities for Business and IT enterprises to achieve their goals. 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. To accomplish these goals and achieve high performance, it is important to design and develop a multi objective scheduling algorithm. Hence it is most challenging to schedule the tasks along with satisfying the user’s Quality of Service requirements. This paper proposes a multi- objective scheduling algorithm that considers wide variety of attributes in cloud environment. The paper aims to improve the performance of CPU, memory and network operations 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.

Keywords: VM, QoS, Non- dominated sorting, Pareto optimal, Makespan, AHP