{"title":"网络/物理协同设计的实践:都市ii的案例研究","authors":"Luca Rizzon, R. Passerone","doi":"10.1109/SIES.2016.7509408","DOIUrl":null,"url":null,"abstract":"To analyze embedded systems, engineers use tools that can simulate the performance of software components executed on hardware architectures. When the embedded system functionality is strongly correlated to physical quantities, as in the case of Cyber-Physical System (CPS), we need to model physical processes to determine the overall behavior of the system. Unfortunately, embedded systems simulators are not generally suitable to evaluate physical processes, and in the same way physical model simulators hardly capture the functionality of computing systems. In this work, we present a methodology to concurrently explore these aspects using the METROII design framework. In this work, we provide guidelines for the implementation of these models in the design environment, and discuss the results gathered with the simulator for two case studies.","PeriodicalId":185636,"journal":{"name":"2016 11th IEEE Symposium on Industrial Embedded Systems (SIES)","volume":"28 10","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Cyber/physical co-design in practice: Case studies in metroII\",\"authors\":\"Luca Rizzon, R. Passerone\",\"doi\":\"10.1109/SIES.2016.7509408\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To analyze embedded systems, engineers use tools that can simulate the performance of software components executed on hardware architectures. When the embedded system functionality is strongly correlated to physical quantities, as in the case of Cyber-Physical System (CPS), we need to model physical processes to determine the overall behavior of the system. Unfortunately, embedded systems simulators are not generally suitable to evaluate physical processes, and in the same way physical model simulators hardly capture the functionality of computing systems. In this work, we present a methodology to concurrently explore these aspects using the METROII design framework. In this work, we provide guidelines for the implementation of these models in the design environment, and discuss the results gathered with the simulator for two case studies.\",\"PeriodicalId\":185636,\"journal\":{\"name\":\"2016 11th IEEE Symposium on Industrial Embedded Systems (SIES)\",\"volume\":\"28 10\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 11th IEEE Symposium on Industrial Embedded Systems (SIES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIES.2016.7509408\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 11th IEEE Symposium on Industrial Embedded Systems (SIES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIES.2016.7509408","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cyber/physical co-design in practice: Case studies in metroII
To analyze embedded systems, engineers use tools that can simulate the performance of software components executed on hardware architectures. When the embedded system functionality is strongly correlated to physical quantities, as in the case of Cyber-Physical System (CPS), we need to model physical processes to determine the overall behavior of the system. Unfortunately, embedded systems simulators are not generally suitable to evaluate physical processes, and in the same way physical model simulators hardly capture the functionality of computing systems. In this work, we present a methodology to concurrently explore these aspects using the METROII design framework. In this work, we provide guidelines for the implementation of these models in the design environment, and discuss the results gathered with the simulator for two case studies.