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Title:Dynamic Online Data Clustering for Object -Oriented Databases
Author(s):Wang, Chao-Ming
Doctoral Committee Chair(s):Belford, Geneva G.
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Computer Science
Abstract:In this dissertation, we derive three models to clarify the relationships among the benefits and the penalties of dynamic online clustering, and database system parameters. The shortcomings of the existing implementations are discovered by qualitatively analyzing the resource consumption of each dynamic online clustering component, and then improvements are developed based on the analysis results. At the end, simulations are performed to verify the effectiveness of the models.
Issue Date:2000
Type:Text
Language:English
Description:133 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.
URI:http://hdl.handle.net/2142/81973
Other Identifier(s):(MiAaPQ)AAI9955677
Date Available in IDEALS:2015-09-25
Date Deposited:2000


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