Title :
An intelligent tool for UNIX performance tuning
Author :
Velez, Raul ; Zhang, Du ; Kho, James
Author_Institution :
NCR Mexico, Mexico City, Mexico
Abstract :
The authors present the design and implementation of a knowledge-based tool for performance tuning of the UNIX operating system. The tool, called BMS, provides intelligent support and maintenance for identifying bottlenecks in UNIX performance and recommending solutions to the problems. Currently, it handles problems in UNIX resource managers, such as memory utilization, disk utilization, CPU scheduling and I/O devices. BMS has been implemented in the EXSYS environment and tested on UNIX V.3. Preliminary results have indicated that such a knowledge-based tool for operating system performance tuning is viable; increases the productivity of system maintenance personnel and reduces the cost of training; and provides users of an operating system with prompt solutions to their system performance problems
Keywords :
Unix; knowledge based systems; resource allocation; software maintenance; software performance evaluation; BMS; CPU scheduling; EXSYS environment; I/O devices; UNIX performance tuning; UNIX resource managers; bottlenecks; disk utilization; input output devices; intelligent support; intelligent tool; knowledge-based tool; maintenance; memory utilization; operating system; operating system performance tuning; system maintenance personnel; system performance problems; training; Cities and towns; Costs; Memory management; Operating systems; Personnel; Productivity; Prototypes; Resource management; System performance; Testing;
Conference_Titel :
Tools with Artificial Intelligence, 1993. TAI '93. Proceedings., Fifth International Conference on
Conference_Location :
Boston, MA
Print_ISBN :
0-8186-4200-9
DOI :
10.1109/TAI.1993.633945
