An Optimized Multi-Objective Job Scheduling in Cloud Environment M. Thanka Roshni*, Dr. Maheswari P Uma**, Edwin E. Bijolin*** *Assistant Professor, Department of Computer Science and Engineering, Karunya University, Coimbatore, India **Associate Professor, Department of Computer Technology, MIT Campus, Anna University, Chennai, India ***Assistant Professor, Department of Information Technology, Karunya University, Coimbatore, India Online published on 2 August, 2016. Abstract Cloud computing is designed for multiple users who can access services, accommodate large volumes of data and build applications. Managing all the resources and to provide on-demand access among several users is complex and difficult. All the inter-dependent tasks need to be properly scheduled and managed so that the resources are utilized effectively and tasks are executed on a lesser time with low cost. Several scheduling algorithms were proposed to schedule tasks and satisfy objectives such as either cost improvement or execution time improvement or server utilization. To improve the scheduling efficiency and to obtain multiple objectives like reduced execution time, cost and server utilization a framework for effective scheduling of tasks in cloud environment is proposed based on the Artificial Bee Colony (ABC) The proposed framework is analyzed in terms of execution time, cost and server utilization and the results are optimal for an effective cloud environment. Top Keywords Resources, Scheduling, Artificial Bee Colony Algorithm, Cloud Environment. Top |