{"title":"分布式信息物理系统环境的系统建模与协同仿真","authors":"Nathan Puryear","doi":"10.1109/SMARTCOMP58114.2023.00063","DOIUrl":null,"url":null,"abstract":"This paper presents work in progress towards a system modeling and co-emulation framework for distributed cyber-physical system (CPS) environments. The proposed framework aims to support experiential learning and experiment orchestration in environments such as CPS testbeds and chemistry labs. It addresses challenges of interoperability, multi-tenancy, scalability and security by leveraging a novel \"co-emulation\" approach that combines different modeling, orchestration and runtime tools.","PeriodicalId":163556,"journal":{"name":"2023 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"System Modeling and Co-Emulation for Distributed Cyber-Physical System Environments\",\"authors\":\"Nathan Puryear\",\"doi\":\"10.1109/SMARTCOMP58114.2023.00063\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents work in progress towards a system modeling and co-emulation framework for distributed cyber-physical system (CPS) environments. The proposed framework aims to support experiential learning and experiment orchestration in environments such as CPS testbeds and chemistry labs. It addresses challenges of interoperability, multi-tenancy, scalability and security by leveraging a novel \\\"co-emulation\\\" approach that combines different modeling, orchestration and runtime tools.\",\"PeriodicalId\":163556,\"journal\":{\"name\":\"2023 IEEE International Conference on Smart Computing (SMARTCOMP)\",\"volume\":\"81 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE International Conference on Smart Computing (SMARTCOMP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SMARTCOMP58114.2023.00063\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Smart Computing (SMARTCOMP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMARTCOMP58114.2023.00063","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
System Modeling and Co-Emulation for Distributed Cyber-Physical System Environments
This paper presents work in progress towards a system modeling and co-emulation framework for distributed cyber-physical system (CPS) environments. The proposed framework aims to support experiential learning and experiment orchestration in environments such as CPS testbeds and chemistry labs. It addresses challenges of interoperability, multi-tenancy, scalability and security by leveraging a novel "co-emulation" approach that combines different modeling, orchestration and runtime tools.
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