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University of Illinois at Urbana-Champaign
Hardware for Searching Very Large Text Databases
Abstract
dc:descriptionThe problems involved in searching very large text databases are discussed. It is shown that conventional techniques for searching current databases cannot be scaled up to larger ones, and that it is necessary to build hardware to search the database in parallel if reasonable search times are expected. The part of the search process requiring the highest bandwidth is scanning the database to detect instances of search terms. Methods from the literature of doing this in hardware are examined, problems with using them in large systems are discussed, and design criteria to be met by a successful search architecture are defined.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Computer Science
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2014
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Haskin, Roger Lee
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (UMI)AAI8108534
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/66443