Parallel processing XML documents

As Web applications are time vulnerable, the increasing size of XML documents and the complexity of evaluating XML queries pose new performance challenges to existing information retrieval technologies. This paper introduces a new approach for developing a purpose-built XML data management system to...

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Bibliographic Details
Main Authors: Kevin Lu, Yuanling Zhu, Wenjun Sun, Shouxun Lin, Jianping Fan
Format: Conference Proceeding
Language:English
Subjects:
Data models
Data processing
Information retrieval
Memory
Parallel processing
Query processing
Spatial databases
Sun
System performance
XML
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Summary:As Web applications are time vulnerable, the increasing size of XML documents and the complexity of evaluating XML queries pose new performance challenges to existing information retrieval technologies. This paper introduces a new approach for developing a purpose-built XML data management system to improve the system performance of a Web site with XML support by using parallel data processing techniques. To improve the system performance, we propose a parallelisation model for XML data processing, where the data storage strategies, data placement methods and query evaluation techniques have been studied. Other related issues are also presented.
ISSN:1098-8068
DOI:10.1109/IDEAS.2002.1029661