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WIN: An efficient data placement strategy for parallel XML databases

  • Nan Tang*
  • , Guoren Wang
  • , Jeffrey Xu Yu
  • , Kam Fai Wong
  • , Ge Yu
  • *此作品的通讯作者
  • Chinese University of Hong Kong
  • Northeastern University China

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The basic idea behind parallel database systems is to perform operations in parallel to reduce the response time and improve the system throughput. Data placement is a key factor on the overall performance of parallel systems. XML is semistructured data, traditional data placement strategies cannot serve it well. In this paper, we present the concept of intermediary node I Node, and propose a novel workload-aware data placement WIN to effectively decluster XML data, to obtain high intra query parallelism. The extensive experiments show that the speedup and scaleup performance of WIN outperforms the previous strategies.

源语言英语
主期刊名Proceedings - 11th International Conference on Parallel and Distributed Systems Workshops, ICPADS 2005
编辑L. Barolli
349-355
页数7
DOI
出版状态已出版 - 2005
已对外发布
活动11th International Conference on Parallel and Distributed Systems Workshops, ICPADS 2005 - Fukuoka, 日本
期限: 20 7月 200522 7月 2005

出版系列

姓名Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS
1
ISSN(印刷版)1521-9097

会议

会议11th International Conference on Parallel and Distributed Systems Workshops, ICPADS 2005
国家/地区日本
Fukuoka
时期20/07/0522/07/05

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