BATKO, Michal, Vlastislav DOHNAL and Pavel ZEZULA. M-Grid: Similarity Searching in Grids. In Proceedings of International Workshop on Information Retrieval in Peer-to-Peer Networks, ACM CIKM 2006. 1st ed. Arlington: ACM Press, 2006, p. 17-24. ISBN 1-59593-531-2.
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Basic information
Original name M-Grid: Similarity Searching in Grids
Name in Czech M-Grid: podobnostní hledání v Gridech
Authors BATKO, Michal (203 Czech Republic, belonging to the institution), Vlastislav DOHNAL (203 Czech Republic, guarantor, belonging to the institution) and Pavel ZEZULA (203 Czech Republic, belonging to the institution).
Edition 1. vyd. Arlington, Proceedings of International Workshop on Information Retrieval in Peer-to-Peer Networks, ACM CIKM 2006, p. 17-24, 8 pp. 2006.
Publisher ACM Press
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
RIV identification code RIV/00216224:14330/06:00015399
Organization unit Faculty of Informatics
ISBN 1-59593-531-2
Keywords in English similarity searching; metric space; M-Grid; D-index; performance analysis
Tags D-index, DISA, M-Grid, Metric Space, performance analysis, similarity searching
Tags International impact, Reviewed
Changed by Changed by: doc. RNDr. Vlastislav Dohnal, Ph.D., učo 2952. Changed: 5/2/2013 16:46.
Abstract
The problem of similarity searching is nowadays attracting a lot of attention, because upcoming applications process complex data and the traditional exact match searching is not sufficient. There are efficient solutions, but they are tailored for the needs of specific data domains. General solutions, based on the metric space abstraction, are extensible, but they are designed to operate on a single computer only. Therefore, their scalability is limited and they cannot adapt to different performance requirements. In this paper, we propose a distributed access structure which is fully dynamic and exploits a Grid infrastructure. We study properties of this structure in numerous experiments. Besides, the performance tuning is analyzed with respect to user-specific requirements which include the maximum response time and the number of queries executed concurrently.
Abstract (in Czech)
The problem of similarity searching is nowadays attracting a lot of attention, because upcoming applications process complex data and the traditional exact match searching is not sufficient. There are efficient solutions, but they are tailored for the needs of specific data domains. General solutions, based on the metric space abstraction, are extensible, but they are designed to operate on a single computer only. Therefore, their scalability is limited and they cannot adapt to different performance requirements. In this paper, we propose a distributed access structure which is fully dynamic and exploits a Grid infrastructure. We study properties of this structure in numerous experiments. Besides, the performance tuning is analyzed with respect to user-specific requirements which include the maximum response time and the number of queries executed concurrently.
Links
1ET100300419, research and development projectName: Inteligentní modely, algoritmy, metody a nástroje pro vytváření sémantického webu
Investor: Academy of Sciences of the Czech Republic, Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization)
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