Managing Inconsistencies in Data Grid Environments: A Practical Approach

Authors:
Nik Bessis;Peter Norrington;Ejaz Ahmed;Yong Yue
Affiliations:
University of Bedfordshire, UK;University of Bedfordshire, UK;King Fahd University of Petroleum and Minerals, Saudi Arabia and University of Bedfordshire, UK;University of Bedfordshire, UK
Venue:
International Journal of Grid and High Performance Computing
Year:
2010

Citing 10
Cited 0

Matching records in a national medical patient index

Communications of the ACM
Grid Services for Distributed System Integration

Computer
Data Integration under Integrity Constraints

CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
A Practical Approach to Access Heterogeneous and Distributed Databases

CAiSE '99 Proceedings of the 11th International Conference on Advanced Information Systems Engineering
A survey of approaches to automatic schema matching

The VLDB Journal — The International Journal on Very Large Data Bases
The Grid 2: Blueprint for a New Computing Infrastructure

The Grid 2: Blueprint for a New Computing Infrastructure
Data integration through database federation

IBM Systems Journal
Grid Enabling Data De-Duplication

E-SCIENCE '06 Proceedings of the Second IEEE International Conference on e-Science and Grid Computing
Utility Based Query Dissemination in Spatial Data Grid

GCC '07 Proceedings of the Sixth International Conference on Grid and Cooperative Computing
Towards a More Scalable Schema Matching: A Novel Approach

International Journal of Distributed Systems and Technologies

Quantified Score

Hi-index	0.00

Visualization

Abstract

Much work has been done in the area of data access and integration using various data mapping, matching, and loading techniques. One of the main concerns when integrating data from heterogeneous data sources is data redundancy. The concern is mainly due to the different business contexts and purposes from which the data systems were originally built. A common process for accessing data from integrated databases involves the use of each data source's own catalogue or metadata schema. In this article, the authors take the view that there is a greater chance of data inconsistencies, such as data redundancies when integrating them within a grid environment as compared to traditional distributed paradigms. The importance of improving the data search and matching process is briefly discussed, and a partial service oriented generic strategy is adopted to consolidate distinct catalogue schemas of federated databases to access information seamlessly. To this end, a proposed matching strategy between structure objects and data values across federated databases in a grid environment is presented.