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Issue title: Selected papers from the International Conference on Computer Science, Software Engineering, Information Technology, e-Business, and Applications, 2004
Guest editors: Narayan C. Debnath
Article type: Research Article
Authors: Hu, Gongzhua; * | Zhang, Davidb
Affiliations: [a] Department of Computer Science, Central Michigan University, Mt. Pleasant, MI 48859, USA | [b] College of Extended Learning, Central Michigan University, Mt. Pleasant, MI 48859, USA
Correspondence: [*] Corresponding author. E-mail: hu1g@cmich.edu.
Abstract: Database query processing is one of the fundamental issues in data engineering, particularly when more and more databases become distributed over the Internet in the last decade. There have been several approaches to the problem of distributed query processing (DQP), some were successful in the client-server environment but not so in an environment with heterogeneous and autonomous databases. The challenge relies on the nature of the Internet and the Web that pose many difficulties to the problem in hand. In this paper, we propose a model that uses an XML standard and its equivalent in-memory data structure to achieve data sharing, and invokes XML Web services in asynchronous mode to allow local database management systems to efficiently process local data. This approach, like XJoin, allows progress to be made even when data sources experience delays. It builds a layer on top of existing database management systems to minimize the complexity and cost for processing distributed queries that is critical for making such a method practical.
Keywords: Distributed query processing, data sharing, query decomposition, XJoin
DOI: 10.3233/JCM-2006-6S203
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 6, no. s2, pp. S243-S254, 2006
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