Improving the performance of pipelined query processing with skipping—and its comparison to document-wise partitioning-Reference-Cited by-同舟云学术

Improving the performance of pipelined query processing with skipping—and its comparison to document-wise partitioning

Published:2013-10-22 Issue:5 Volume:17 Page:949-967
ISSN:1386-145X
Container-title:World Wide Web
language:en
Short-container-title:World Wide Web

Author:

Jonassen Simon,Bratsberg Svein Erik

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Link

http://link.springer.com/content/pdf/10.1007/s11280-013-0260-2.pdf

Reference20 articles.

1. Cambazoglu, B.B., Aykanat, C.: A term-based inverted index organization for communication-efficient parallel query processing. In: IFIP NPC (2006)

2. Cambazoglu, B.B., Kayaaslan, E., Jonassen, S., Ayakanat, C.: A term-based inverted index partitioning model for efficient distributed query processing. In: ACM Transactions on Embedded Computing Systems, vol. 9, no. 4, Article 39 (2010)

3. Dimopoulos, C., Nepomnyachiy, S., Suel, T.: Optimizing top-k document retrieval strategies for block-max indexes. In: WSDM (2013)

4. Jonassen, S., Bratsberg, S.E.: Impact of the query model and system settings on performance of distributed inverted indexes. In: NIK (2009)

5. Jonassen, S., Bratsberg, S.E.: A combined semi-pipelined query processing architecture for distributed full-text retrieval. In: WISE (2010)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reducing hardware hit by queries in web search engines;Information Processing & Management;2016-11

2. Improving Dynamic Index Pruning via Linear Programming;Proceedings of the 2015 Workshop on Large-Scale and Distributed System for Information Retrieval;2015-10-22