{"title":"数据分配优化技术的统计评价及其在计算机集成制造中的应用","authors":"I. Remedios, K. Efe, L. Delcambre","doi":"10.1109/PCCC.1992.200576","DOIUrl":null,"url":null,"abstract":"A statistical approach is used to analyze the performance of data allocation optimization techniques in distributed computer systems. This approach is applied to a computer integrated manufacturing (CIM) system with hierarchical control constraints. The performance of some existing general purpose optimization techniques are compared with heuristics specifically developed for allocating data in a CIM system. Data allocation optimization techniques were actually implemented and performance was evaluated for a 250 node apparel CIM factory. The specific issues addressed include: (1) solution quality in terms of the minimum system wide input/output (I/O) task operating cost, (2) the probability of finding a better solution, (3) the performance of optimization heuristics in terms of their figure-of-merit, and (4) the impact of I/O task activation scenarios on the choice of an optimization technique for solving the CIM data allocation problem.<<ETX>>","PeriodicalId":250212,"journal":{"name":"Eleventh Annual International Phoenix Conference on Computers and Communication [1992 Conference Proceedings]","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Statistical evaluation of data allocation optimization techniques with application to computer integrated manufacturing\",\"authors\":\"I. Remedios, K. Efe, L. Delcambre\",\"doi\":\"10.1109/PCCC.1992.200576\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A statistical approach is used to analyze the performance of data allocation optimization techniques in distributed computer systems. This approach is applied to a computer integrated manufacturing (CIM) system with hierarchical control constraints. The performance of some existing general purpose optimization techniques are compared with heuristics specifically developed for allocating data in a CIM system. Data allocation optimization techniques were actually implemented and performance was evaluated for a 250 node apparel CIM factory. The specific issues addressed include: (1) solution quality in terms of the minimum system wide input/output (I/O) task operating cost, (2) the probability of finding a better solution, (3) the performance of optimization heuristics in terms of their figure-of-merit, and (4) the impact of I/O task activation scenarios on the choice of an optimization technique for solving the CIM data allocation problem.<<ETX>>\",\"PeriodicalId\":250212,\"journal\":{\"name\":\"Eleventh Annual International Phoenix Conference on Computers and Communication [1992 Conference Proceedings]\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Eleventh Annual International Phoenix Conference on Computers and Communication [1992 Conference Proceedings]\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PCCC.1992.200576\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eleventh Annual International Phoenix Conference on Computers and Communication [1992 Conference Proceedings]","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCCC.1992.200576","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Statistical evaluation of data allocation optimization techniques with application to computer integrated manufacturing
A statistical approach is used to analyze the performance of data allocation optimization techniques in distributed computer systems. This approach is applied to a computer integrated manufacturing (CIM) system with hierarchical control constraints. The performance of some existing general purpose optimization techniques are compared with heuristics specifically developed for allocating data in a CIM system. Data allocation optimization techniques were actually implemented and performance was evaluated for a 250 node apparel CIM factory. The specific issues addressed include: (1) solution quality in terms of the minimum system wide input/output (I/O) task operating cost, (2) the probability of finding a better solution, (3) the performance of optimization heuristics in terms of their figure-of-merit, and (4) the impact of I/O task activation scenarios on the choice of an optimization technique for solving the CIM data allocation problem.<>
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