{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T06:30:52Z","timestamp":1649140252561},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[1996,9]]},"abstract":"<jats:p> This paper presents the design and implementation of a knowledge-based tool for performance tuning of the UNIX operating system. The tool, called BMS, provides an intelligent support and maintenance for identifying performance bottlenecks in UNIX and recommending solutions to the problems. Currently, it handles problems in UNIX resource management, 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 to operating system performance tuning (1) is viable; (2) increases the productivity of system maintenance personnel and reduces the cost of training; and (3) offers a better service to operating system users by providing prompt recommendations to solutions of their system performance problems. <\/jats:p>","DOI":"10.1142\/s0218213096000225","type":"journal-article","created":{"date-parts":[[2004,9,6]],"date-time":"2004-09-06T11:50:09Z","timestamp":1094471409000},"page":"323-345","source":"Crossref","is-referenced-by-count":0,"title":["BMS: A KNOWLEDGE-BASED TOOL FOR UNIX PERFORMANCE TUNING"],"prefix":"10.1142","volume":"05","author":[{"given":"DU","family":"ZHANG","sequence":"first","affiliation":[{"name":"Department of Computer Science, California State University, Sacramento, CA 95819\u20136021, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"RAUL","family":"VELEZ","sequence":"additional","affiliation":[{"name":"NCR Mexico, 11000 Mexico City, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218213096000225","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T03:16:59Z","timestamp":1565147819000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218213096000225"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1996,9]]},"references-count":0,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1996,9]]}},"alternative-id":["10.1142\/S0218213096000225"],"URL":"https:\/\/doi.org\/10.1142\/s0218213096000225","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"value":"0218-2130","type":"print"},{"value":"1793-6349","type":"electronic"}],"subject":[],"published":{"date-parts":[[1996,9]]}}}