Automatic Parallel Input/output Performance Optimization in Panda
Chen, Ying
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Permalink
https://hdl.handle.net/2142/81914
Description
Title
Automatic Parallel Input/output Performance Optimization in Panda
Author(s)
Chen, Ying
Issue Date
1998
Doctoral Committee Chair(s)
Winslett, Marianne
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
Finally, we must devise proper optimization strategies to search for optimal parameter settings. We present two optimization strategies in this thesis, a rule-based strategy and a simulated annealing-search algorithm. We show that with proper use of these strategies, the Panda performance model can be used to select high quality parameter settings for a wide spectrum of system conditions with a low optimization overhead. (Abstract shortened by UMI.).
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