By Topic

Heterogeneous relational databases for a grid-enabled analysis environment

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

13 Author(s)
A. Ali ; National Univ. of Sci. & Technol., Rawalpindi, Pakistan ; A. Anjum ; Tahir Azim ; J. Bunn
more authors

Grid based systems require a database access mechanism that can provide seamless homogeneous access to the requested data through a virtual data access system, i.e. a system which can take care of tracking the data that is stored in geographically distributed heterogeneous databases. This system should provide an integrated view of the data that is stored in the different repositories by using a virtual data access mechanism, i.e. a mechanism which can hide the heterogeneity of the backend databases from the client applications. This paper focuses on accessing data stored in disparate relational databases through a Web service interface, and exploits the features of a data warehouse and data marts. We present a middleware that enables applications to access data stored in geographically distributed relational databases without being aware of their physical locations and underlying schema. A Web service interface is provided to enable applications to access this middleware in a language and platform independent way. A prototype implementation was created based on Clarens (C. Steenberg et. al., 2003), Unity (R. Lawrence and K. Barker, 2000) and POOL ( This ability to access the data stored in the distributed relational databases transparently is likely to be a very powerful one for grid users, especially the scientific community wishing to collate and analyze data distributed over the grid.

Published in:

2005 International Conference on Parallel Processing Workshops (ICPPW'05)

Date of Conference:

14-17 June 2005