On the Design and Scheduling of an Index Processing System for Very Large Databases
Huang, Hui-Ming
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https://hdl.handle.net/2142/66444
Description
Title
On the Design and Scheduling of an Index Processing System for Very Large Databases
Author(s)
Huang, Hui-Ming
Issue Date
1980
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
Abstract
One of the major operations in an inverted file or indexed retrieval system is the combining of two or more lists of pointers to items in the database, based on a Boolean expression, to form composite lists of pointers of interests. While this is a simple operation, it is not performed efficiently by a general purpose digital computer. In this thesis, we present the organization and operation of an index processing system which offers speed increases in performing this operation. The effects of the design parameters, such as merge network configuration, disk storage system architecture, query complexity and arrival rate, and postings list length and overlaps, on the performance of this system are examined, using both analytical techniques and simulations. Five algorithms for scheduling the merge trees are also defined and their effects on system performance studied. Results of these studies will allow the implementor of a very large text database to select the system configuration and scheduling algorithms which would produce the greatest performance under a specific users software environment.
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