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The Scientific World Journal
Volume 2015 (2015), Article ID 983018, 11 pages
http://dx.doi.org/10.1155/2015/983018
Research Article

Job Scheduling with Efficient Resource Monitoring in Cloud Datacenter

Department of Information Science and Technology, Anna University, Tamil Nadu 600025, India

Received 5 May 2015; Revised 1 August 2015; Accepted 18 August 2015

Academic Editor: Dimitrios A. Karras

Copyright © 2015 Shyamala Loganathan and Saswati Mukherjee. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Cloud computing is an on-demand computing model, which uses virtualization technology to provide cloud resources to users in the form of virtual machines through internet. Being an adaptable technology, cloud computing is an excellent alternative for organizations for forming their own private cloud. Since the resources are limited in these private clouds maximizing the utilization of resources and giving the guaranteed service for the user are the ultimate goal. For that, efficient scheduling is needed. This research reports on an efficient data structure for resource management and resource scheduling technique in a private cloud environment and discusses a cloud model. The proposed scheduling algorithm considers the types of jobs and the resource availability in its scheduling decision. Finally, we conducted simulations using CloudSim and compared our algorithm with other existing methods, like V-MCT and priority scheduling algorithms.