{"title":"数字宏观系统的设计工具","authors":"J. Saini, E. Zaluska","doi":"10.1049/SM:19840032","DOIUrl":null,"url":null,"abstract":"The early stages of system design and evaluation are rarely treated in a systematic way. Furthermore, system design tools have mostly been applied to the later phases of the design cycle. The paper presents a quantitative basis for the high-level design of digital systems in the form of probabilistic and simulation models and several performance measures. These tools form a major part of an overall system design methodology which has been valuable in the design, optimisation and evaluation of large-scale digital systems. The application of the modelling tools to the design of a distributed processing system is demonstrated. Validation of the results by simulation reveal an average error of less than 3% for this example.","PeriodicalId":430139,"journal":{"name":"Software & Microsystems","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1984-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design tools for digital macro systems\",\"authors\":\"J. Saini, E. Zaluska\",\"doi\":\"10.1049/SM:19840032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The early stages of system design and evaluation are rarely treated in a systematic way. Furthermore, system design tools have mostly been applied to the later phases of the design cycle. The paper presents a quantitative basis for the high-level design of digital systems in the form of probabilistic and simulation models and several performance measures. These tools form a major part of an overall system design methodology which has been valuable in the design, optimisation and evaluation of large-scale digital systems. The application of the modelling tools to the design of a distributed processing system is demonstrated. Validation of the results by simulation reveal an average error of less than 3% for this example.\",\"PeriodicalId\":430139,\"journal\":{\"name\":\"Software & Microsystems\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1984-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Software & Microsystems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1049/SM:19840032\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Software & Microsystems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/SM:19840032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The early stages of system design and evaluation are rarely treated in a systematic way. Furthermore, system design tools have mostly been applied to the later phases of the design cycle. The paper presents a quantitative basis for the high-level design of digital systems in the form of probabilistic and simulation models and several performance measures. These tools form a major part of an overall system design methodology which has been valuable in the design, optimisation and evaluation of large-scale digital systems. The application of the modelling tools to the design of a distributed processing system is demonstrated. Validation of the results by simulation reveal an average error of less than 3% for this example.