P. Kiruthika, S. Gokul Dev, SNS College of Engineering, Coimbatore, Tamilnadu, India.
DOI : 01.0401/ijaict.2014.02.18
International Journal of Advanced Information and Communication Technology
Received On : February 07, 2015
Revised On : March 21, 2015
Accepted On : April 10, 2015
Published On : May 05, 2015
Volume 02, Issue 05
Pages : 266-270
Abstract
Grid Computing is a form of distributed systems that enables the sharing of resources from various administrative domains to solve a particular problem. Grid resource management is defined as the process of identifying requirements, matching resources to applications, allocating those resources, and scheduling and monitoring grid resources over time in order to run the various grid applications. Job scheduling is used to schedule the applications requested by the user to allocate the jobs with minimum time. The process of monitoring refers to systematically gather information about the status of all resources. The data stored in the Distributed Hash Table replicates the request given by the user. The proposed system focused on Fault Identification and Dynamic Scheduling. Since there is a probability of resource overloading due to dynamic scheduling of multiple jobs, and there may be chances of fault in the resources. The monitoring component gives the information about the resource overloading. In this, a novel algorithm is proposed to address this issue through implementing a strategy for dynamic rescheduling of jobs in the grid environment.
Keywords
Job scheduling, load balancing, fault tolerance.
Cite this article
P. Kiruthika, S. Gokul Dev, “Dynamic Scheduling and Rescheduling with Fault Tolerance Strategy in Grid Computing” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.266-270, May 05, 2015.
Copyright
© 2015 P. Kiruthika, S. Gokul Dev. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.