By Topic

Comparison of Price-Based Static and Dynamic Job Allocation Schemes for Grid Computing Systems

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
$33 $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)
Penmatsa, S. ; Dept. of Math. & Comput. Sci., Southern Arkansas Univ., Magnolia, AR, USA ; Chronopoulos, A.T.

Grid computing systems are a cost-effective alternative to traditional high-performance computing systems. However, the computing resources of a grid are usually far apart and connected by Wide Area Networks resulting in considerable communication delays. Hence, efficient allocation of jobs to computing resources for load balancing is essential in these grid systems. In this paper, two price-based dynamic job allocation schemes for computational grids are proposed whose objective is to minimize the execution cost for the grid users' jobs. One scheme tries to provide a system-optimal solution so that the expected price for the execution of all the jobs in the grid system is minimized, while the other tries to provide a job-optimal solution so that all the jobs in the system of the same size will be charged approximately the same expected price independent of the computers allocated for their execution to provide fairness. The performance of the proposed dynamic schemes is compared with static job allocation schemes using simulations.

Published in:

Network Computing and Applications, 2009. NCA 2009. Eighth IEEE International Symposium on

Date of Conference:

9-11 July 2009