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University of Illinois at Urbana-Champaign
Automatic Parallel Input/output Performance Optimization in Panda
Abstract
dc:descriptionFinally, 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.).
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
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Chen, Ying
- Contributors dc:contributor
-
- Winslett, Marianne
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI9904407
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/81914