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Parallel text searching on a Beowulf cluster using SRW

Author: Ralph R LeVan; Thomas Butler Hickey; Jenny Toves; OCLC. Office of Research.
Edition/Format:   Downloadable article : Document   Computer File : English
Publication:D-Lib magazine, Vol. 11, no. 9 (Sept. 2005)
Database:WorldCat
Summary:
This article describes our experience building a scalable, relatively inexpensive, and fast searching framework that demonstrated 172 searches per second on a database of 50 million records. The article should be of interest to anyone seeking an inexpensive, open source, text-searching framework that scales to extremely large databases. The technology described uses the SRW (Search/Retrieve Web) service in a manner  Read more...
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Details

Material Type: Document, Internet resource
Document Type: Internet Resource, Article, Computer File
All Authors / Contributors: Ralph R LeVan; Thomas Butler Hickey; Jenny Toves; OCLC. Office of Research.
ISSN:1082-9873
OCLC Number: 449212862
Notes: Title from title screen (viewed October 5, 2009).
Caption title.
In: D-Lib magazine Volume 11 number 9 (September 2005).
Author affiliations: OCLC Office of Research.
Description: 1 online resource : illustrations
Details: Mode of access: World Wide Web.
Responsibility: Ralph R. LeVan, Thomas B. Hickey and Jenny Toves.

Abstract:

This article describes our experience building a scalable, relatively inexpensive, and fast searching framework that demonstrated 172 searches per second on a database of 50 million records. The article should be of interest to anyone seeking an inexpensive, open source, text-searching framework that scales to extremely large databases. The technology described uses the SRW (Search/Retrieve Web) service in a manner nearly identical to federated searching in the metasearch community and should be of interest to anyone doing federated searching.

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Linked Data


Primary Entity

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