Self-Tuning Systems

Dror G. Feitelson; Michael Naaman

doi:10.1109/52.754053

Self-Tuning Systems

Dror G. Feitelson^*
, Michael Naaman

^*Corresponding author for this work

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Contribution to journal › Article › peer-review

26 Scopus citations

Abstract

Tuning operating systems helps system administrators improve system performance and efficiency, but it can be time-consuming. These authors propose a mechanism, based on genetic algorithms, to automate this process by running simulations of system performance for various parameter values during the system's idle loop.

Original language	English
Pages (from-to)	52-60
Number of pages	9
Journal	IEEE Software
Volume	16
Issue number	2
DOIs	https://doi.org/10.1109/52.754053
State	Published - Mar 1999

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Self-Tuning Systems

Abstract

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