By Topic

The impact of bandwidth and storage space on job scheduling and data replication strategies in data grids

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)
Fatemeh Jolfaei ; Department of Electrical, Computer and IT Engineering, Qazvin branch Islamic Azad University, Iran ; Abolfazl T. Haghighat

In the Data Grid environment, the primary goal of data replication is to shorten the data access time experienced by the job. Nowadays, scientific research and commercial application generate large amount of data that are required by users around the world. Data access time depends on bandwidth and storage space in each site. The major bottleneck to supporting fast data access in Grids is the high latencies of Wide Area Networks and Internet. We proved that, on the one hand high bandwidth and storage space make the enhancement of scheduling efficiency in data grids and on the other hand scheduling and data replication strategies with the high bandwidth and high storage space equally treat and have the same results. In this paper, we studied LFU, LRU, BHR and HRS algorithms and evaluated them through simulation by Gridsim.

Published in:

Computing Technology and Information Management (ICCM), 2012 8th International Conference on  (Volume:1 )

Date of Conference:

24-26 April 2012