Optimizing Queue Management of High Performance Cluster Computing System on Over-loading Applied with Genetic Algorithm
碩士 === 元智大學 === 資訊管理學系 === 95 === High performance cluster computing is an essential tool for scientific research. Tradition method to manage those jobs that are in the queue waiting state depends on the rank of the job submit time or a ticket from system administrator. By means of series experiment...
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| Format: | Others |
| Language: | zh-TW |
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2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/88897149070759017931 |
| Summary: | 碩士 === 元智大學 === 資訊管理學系 === 95 === High performance cluster computing is an essential tool for scientific research. Tradition method to manage those jobs that are in the queue waiting state depends on the rank of the job submit time or a ticket from system administrator. By means of series experimental design, genetic algorithm presents its power and fitness of this kind problem. In fact, under limited resources computing environment, to increase operation rate is better than much more investments.
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