Proceedings of the 2002 ACM symposium on Document engineering
Efficient Filtering of XML Documents for Selective Dissemination of Information
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Dynamic Pipeline Scheduling for Improving Interactive Query Performance
Proceedings of the 27th International Conference on Very Large Data Bases
An XML query engine for network-bound data
The VLDB Journal — The International Journal on Very Large Data Bases
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This paper proposes a programming environment for Java thatprocesses network XML data in a demand-driven manner to returnquick initial responses. Our system provides a data binding tooland a tree operation package, and the programmer can easily handlenetwork XML data as tree-based operations using these facilities.For efficiency, demand-driven data binding allows the applicationto start the processing of a network XML document before thearrival of the whole data, and our tree operators are also designedto start the calculation using the initially accessible part of theinput data. Our system uses multithread technology forimplementation with optimization techniques to reduce runtimeoverheads. It can return initial responses quickly, and oftenshortens the total execution time due to the effects of latencyhiding and the reduction of memory usage. Compared with an ordinarytree-based approach, our system shows a highly improved responseand a 1-28% reduction of total execution time on the benchmarkprograms. It only needs 1-4% runtime overheads against theevent-driven programs.