{"title":"云中CPS仿真的DSL方法:经验报告","authors":"P. Kourzanov","doi":"10.1145/2589650.2559634","DOIUrl":null,"url":null,"abstract":"This paper presents our approach to Cyber-physical System (CPS) simulation including a number of embedded nodes that form a wireless network. On one hand, we use the NS-2 discrete-event simulator as a C++ kernel for running network simulation scenarios, while on the other hand, a combination of components written using standard Scheme as well as a number of Domain-Specific Language (DSL) instances embedded into Scheme (implementing pattern-matching, logic-relational models, and Web programming) are used in a cloud-based tool-set that supports research exploration cycle where variation in network parameters is compared to the resulting CPS performance. These components cooperate to provide an intuitive Web-based user interface, analysis tools and a seamless work-flow including visualization.","PeriodicalId":394553,"journal":{"name":"Proceedings of International Workshop on Engineering Simulations for Cyber-Physical Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"DSL methods for CPS simulation in the cloud: Experience report\",\"authors\":\"P. Kourzanov\",\"doi\":\"10.1145/2589650.2559634\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents our approach to Cyber-physical System (CPS) simulation including a number of embedded nodes that form a wireless network. On one hand, we use the NS-2 discrete-event simulator as a C++ kernel for running network simulation scenarios, while on the other hand, a combination of components written using standard Scheme as well as a number of Domain-Specific Language (DSL) instances embedded into Scheme (implementing pattern-matching, logic-relational models, and Web programming) are used in a cloud-based tool-set that supports research exploration cycle where variation in network parameters is compared to the resulting CPS performance. These components cooperate to provide an intuitive Web-based user interface, analysis tools and a seamless work-flow including visualization.\",\"PeriodicalId\":394553,\"journal\":{\"name\":\"Proceedings of International Workshop on Engineering Simulations for Cyber-Physical Systems\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of International Workshop on Engineering Simulations for Cyber-Physical Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2589650.2559634\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of International Workshop on Engineering Simulations for Cyber-Physical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2589650.2559634","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DSL methods for CPS simulation in the cloud: Experience report
This paper presents our approach to Cyber-physical System (CPS) simulation including a number of embedded nodes that form a wireless network. On one hand, we use the NS-2 discrete-event simulator as a C++ kernel for running network simulation scenarios, while on the other hand, a combination of components written using standard Scheme as well as a number of Domain-Specific Language (DSL) instances embedded into Scheme (implementing pattern-matching, logic-relational models, and Web programming) are used in a cloud-based tool-set that supports research exploration cycle where variation in network parameters is compared to the resulting CPS performance. These components cooperate to provide an intuitive Web-based user interface, analysis tools and a seamless work-flow including visualization.