By Topic

An Approach of Heterogeneous Data Access and Integration in 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
$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

5 Author(s)
Wanbing Shi ; Department of Computer Science, Lanzhou University, Lanzhou, Gansu, P. R. China. shiwb05@st.lzu.edu.cn ; Lian Li ; Li Liu ; Wumeng Lin
more authors

Grid computing technologies have played an important role in both scientific and commercial communities. Initially, grid applications were concerned principally on the storage, replication and movement of file-based data, but now they are increasingly being used in many relative areas of e-Science and e-Business. The need for data access and integration becomes widely aware. In this paper, the Muse project presents a feasible approach, which is based on the design and implementation of OGSA-DAI architecture, to facilitate scientific researchers using grid services in their collaborative work. The Muse, with an aim of providing integrated access to complex, heterogeneous and distributed data resources, mainly intends to build a high-level middleware to extend the functionalities of OGSA-DAI framework. This paper focuses primarily on access and integration of relational databases, and shows how Muse supports a demonstrated application scenario in detail

Published in:

2006 First International Symposium on Pervasive Computing and Applications

Date of Conference:

3-5 Aug. 2006