Cart (Loading....) | Create Account
Close category search window
 

Experiments with CPU Scheduling Algorithm on a Computational Grid

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)
Rawat, S.S. ; Dept. of CSE, Vignan Inst. of Technol. & Sci., Deshmukhi ; Rajamani, L.

The grid is an emerging technology for enabling resource sharing and coordinated problem solving in dynamic multi-institutional virtual organizations. The resource-matching problem in the grid involves assigning resources to tasks in order to satisfy task requirements and resource policies. Just as the World Wide Web has changed the way that society deals with information, researchers and educators now expect the grid to change the way that they deal with computing resources and, ultimately, how they deal with knowledge. It is important to mention that, so far, the computational grid has reached a much higher level of maturity than the other types of grid. This paper deals with the implementation of a computer program, which employs Grid Computing (GCs) technique in the quest for reducing the computational time. The program is written in Java and incorporates a grid-gain strategy for faster evolution. The factors like average turn around time, waiting time, and the execution time has been calculated for the given data set. Comparison has been made between the execution times of this algorithm with and without using grid environment and finally given the best choice for CPU scheduling algorithms (i.e. SJF (shortest job first), PRIORITY, and FCFS (first come first serve)) for given data set. In the future in order to construct large, repeatable experiments, a simulation environment designed to examine application scheduling on the grid such as Simgrid could be used.

Published in:

Advance Computing Conference, 2009. IACC 2009. IEEE International

Date of Conference:

6-7 March 2009

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.