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- W352120644 abstract "To achieve good performance of processing queries on huge XML data in cluster machines, data parti- tioning and placement strategy is one of the key factors. In this paper we propose a multidimensional data structure for maintaining XML data partitions, specifically for holistic twig join processing. Initially, we construct the multi- dimensional data structure from statistical information on various XML documents and queries execution that have been recorded in the past, such that dimensions of the data structure such as XML tag, query, and XML document can be composed. Also, we outline series of multidimensional analysis operations for generating and maintaining XML data partitions in three basic steps: document clustering, query clustering and partition refinement. Each step yields partitions with their associated costs that are computed by a cost function. As a part of partition refinement, some partitions having considerably high costs resided in overloaded machines are analyzed to select an appropriate multidimensional analysis operation for refinement. Finally, we show the effectiveness of our proposed method with" @default.
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- W352120644 date "2008-01-01" @default.
- W352120644 modified "2023-09-27" @default.
- W352120644 title "A Multidimensional Data Structure for Maintaining XML Data Partitions" @default.
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