Computer Science Department
School of Computer Science, Carnegie Mellon University
A Two-Tiered Software Architecture for
Automated Tuning of Disk Layouts
Brandon Salmon*, Eno Thereska*, Craig A.N. Soules, Gregory R. Ganger
April 2003
This reports has also appeared in the
First Workshop on Algorithms and Architectures for Self-Managing
Systems,
in conjunction with the Federated Computing Research Conference
(FCRC),
San Diego, CA. June 11, 2003.
CMU-CS-03-130.ps
CMU-CS-03-130.pdf
Many heuristics have been developed for adapting on-disk data
layouts to expected and observed workload charac-teristics. This
paper describes a two-tiered software architecture for cleanly and
extensibly combining such heuristics. In this architecture, each
heuristic is implemented independently and an adaptive combiner
merges their suggestions based on how well they work in the given
environment. The result is a simpler and more robust system for
automated tuning of disk layouts, and a useful blueprint for other
complex tuning problems such as cache management, scheduling, data
migration, and so forth.
12 pages
*Department of Electrical and Computer Engineering, Carnegie Mellon University
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