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Performance of inverted indices in distributed text document retrieval systems

Author: Anthony Slavko Tomasic; Hector Garcia-Molina; Stanford University. Computer Science Department.
Publisher: Stanford, Calif. : Stanford University, Dept. of Computer Science, [1992]
Series: Report (Stanford University. Computer Science Department), STAN- CS-92-1434.
Edition/Format:   Book : EnglishView all editions and formats
Database:WorldCat
Summary:
Abstract: "The performance of distributed text document retrieval systems is strongly influenced by the organization of the inverted index. This paper compares the performance impact on query processing of various physical organizations for inverted lists. We present a new probalistic model of the database and queries. Simulation experiments determine which variables most strongly influence response time and  Read more...
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Document Type: Book
All Authors / Contributors: Anthony Slavko Tomasic; Hector Garcia-Molina; Stanford University. Computer Science Department.
OCLC Number: 26814584
Notes: Cover title.
"June 1992."
Description: 25 p. : ill. ; 28 cm.
Series Title: Report (Stanford University. Computer Science Department), STAN- CS-92-1434.
Responsibility: by Anthony Tomasic and Hector Garcia-Molina.

Abstract:

Abstract: "The performance of distributed text document retrieval systems is strongly influenced by the organization of the inverted index. This paper compares the performance impact on query processing of various physical organizations for inverted lists. We present a new probalistic model of the database and queries. Simulation experiments determine which variables most strongly influence response time and throughput. This leads to a set of design trade-offs over a wide range of hardware configurations and new parallel query processing strategies."

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