Title :
Self-tuning systems
Author :
Feitelson, Dror G. ; Naaman, Michael
Author_Institution :
Hebrew Univ., Jerusalem, Israel
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
Keywords :
genetic algorithms; operating systems (computers); genetic algorithms; idle loop; operating systems; self-tuning systems; system performance; Algorithm design and analysis; Data structures; Delay systems; Design optimization; Genetic algorithms; Operating systems; System performance; Tuning; User interfaces; Web server;
Journal_Title :
Software, IEEE
