By Topic

A Cluster Based Resource Allocation Architecture for mobile grid environments

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Thenmozhi, S. ; Dept. of MCA, Chettinad Coll. of Eng. & Technol., Karur, India ; Tamilarasi, A.

The mobility issue in grid environments has established new challenges to the research communities particularly in the areas of scheduling, adaptation, security and mobility. Especially, the resource allocation becomes more challenging when mobility is considered in grid environment. Hence it is necessary to consider the mobility of users along with the resource availability while scheduling the resources for the execution of jobs. In this paper, we propose to design a Cluster Based Resource Allocation Architecture (CBRA) which includes resource monitoring and scheduling operations for mobile grid. In this architecture, the Mobile Grid is divided into clusters. Each cluster has one cluster head (CH). A master server (MS) controls each local clusters and has frequent updates of all the CH information. Each CH has a monitoring agent (MA) which will periodically predict the mobility of the cluster nodes and monitor the resource availability and update their values. When the MS forwards the job request of a user to the ideal CH, the CH schedules the jobs based on the predicted time for resource availability and sufficiency of the resources. By simulation results, we show that our proposed architecture achieves good success ratio and throughput with the reduced delay and energy consumption.

Published in:

Computing Communication and Networking Technologies (ICCCNT), 2010 International Conference on

Date of Conference:

29-31 July 2010