Optimization of Data Accesses for Database Applications
Chen, Zhifeng
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Permalink
https://hdl.handle.net/2142/81678
Description
Title
Optimization of Data Accesses for Database Applications
Author(s)
Chen, Zhifeng
Issue Date
2005
Doctoral Committee Chair(s)
Zhou, Yuanyuan
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
To address the memory access bottleneck, this dissertation proposes Hanuman, which reformats data dynamically in the database buffer. By adapting data layouts to the changing workload, Hanuman improves the data spatial locality and the processor cache hit ratio accordingly. To determine the best data layout, Hanuman conducts the heuristic cost analysis for candidate layouts and chooses the best layout that minimizes the estimated cache misses. Our result indicates that Hanuman is effective and efficient.
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