Managing Inconsistencies in Data Grid Environments: A Practical Approach

Managing Inconsistencies in Data Grid Environments: A Practical Approach

Ejaz Ahmed (King Fahd University of Petroleum and Minerals, Saudi Arabia and University of Bedfordshire, UK), Nik Bessis (University of Bedfordshire, UK), Peter Norrington (University of Bedfordshire, UK) and Yong Yue (University of Bedfordshire, UK)
Copyright: © 2010 |Pages: 14
DOI: 10.4018/jghpc.2010100105
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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.
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Literature Review

The section presents an overview of and a comparison between matching approaches.

Rahm and Bernstein (2001) developed taxonomy of schema matching approaches which for some remains the significant contribution in this field. The taxonomy consists of two major branches (Figure 1): (a) individual matcher approaches and (b) combining matchers. Regarding combining matchers, hybrid matchers integrate matching criteria prior to mapping, whereas composite matchers integrate the results of individual matchers post-mapping. The description of individual matchers is from (Rahm & Bernstein, ibid).

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