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 |
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主期刊名 | Proceedings - 11th International Conference on Parallel and Distributed Systems Workshops, ICPADS 2005 |
编辑 | L. Barolli |
页 | 349-355 |
页数 | 7 |
DOI | |
出版状态 | 已出版 - 2005 |
已对外发布 | 是 |
活动 | 11th International Conference on Parallel and Distributed Systems Workshops, ICPADS 2005 - Fukuoka, 日本 期限: 20 7月 2005 → 22 7月 2005 |
出版系列
姓名 | Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS |
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卷 | 1 |
ISSN(印刷版) | 1521-9097 |
会议
会议 | 11th International Conference on Parallel and Distributed Systems Workshops, ICPADS 2005 |
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国家/地区 | 日本 |
市 | Fukuoka |
时期 | 20/07/05 → 22/07/05 |
指纹
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Tang, N., Wang, G., Yu, J. X., Wong, K. F., & Yu, G. (2005). WIN: An efficient data placement strategy for parallel XML databases. 在 L. Barolli (编辑), Proceedings - 11th International Conference on Parallel and Distributed Systems Workshops, ICPADS 2005 (页码 349-355). (Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS; 卷 1). https://doi.org/10.1109/ICPADS.2005.298