{"title":"基于BiAgents*和Maude的物联网系统形式化建模","authors":"Souad Marir, F. Belala, N. Hameurlain","doi":"10.1109/ICAASE51408.2020.9380126","DOIUrl":null,"url":null,"abstract":"The Internet of Things is an emerging worldwide ecosystem in which smart devices interact to build smart homes, smart cities, etc. In such context, plethora of research efforts are oriented to networking and devices; analyzing and formalizing IoT systems are still in their earliest state. In this paper, we propose a BiAgents* (Bigraphical Agents) model to provide a formal description for IoT systems structure and behavior. In addition, we encode the BiAgents* specification into Maude language to enable an autonomic execution of the IoT systems’ behaviors. The proposed approach is illustrated and evaluated through an example (an intelligent case of collision avoidance system).","PeriodicalId":405638,"journal":{"name":"2020 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"07 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Formal Modeling IoT Systems on the Basis of BiAgents* and Maude\",\"authors\":\"Souad Marir, F. Belala, N. Hameurlain\",\"doi\":\"10.1109/ICAASE51408.2020.9380126\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Internet of Things is an emerging worldwide ecosystem in which smart devices interact to build smart homes, smart cities, etc. In such context, plethora of research efforts are oriented to networking and devices; analyzing and formalizing IoT systems are still in their earliest state. In this paper, we propose a BiAgents* (Bigraphical Agents) model to provide a formal description for IoT systems structure and behavior. In addition, we encode the BiAgents* specification into Maude language to enable an autonomic execution of the IoT systems’ behaviors. The proposed approach is illustrated and evaluated through an example (an intelligent case of collision avoidance system).\",\"PeriodicalId\":405638,\"journal\":{\"name\":\"2020 International Conference on Advanced Aspects of Software Engineering (ICAASE)\",\"volume\":\"07 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Advanced Aspects of Software Engineering (ICAASE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAASE51408.2020.9380126\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Advanced Aspects of Software Engineering (ICAASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAASE51408.2020.9380126","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Formal Modeling IoT Systems on the Basis of BiAgents* and Maude
The Internet of Things is an emerging worldwide ecosystem in which smart devices interact to build smart homes, smart cities, etc. In such context, plethora of research efforts are oriented to networking and devices; analyzing and formalizing IoT systems are still in their earliest state. In this paper, we propose a BiAgents* (Bigraphical Agents) model to provide a formal description for IoT systems structure and behavior. In addition, we encode the BiAgents* specification into Maude language to enable an autonomic execution of the IoT systems’ behaviors. The proposed approach is illustrated and evaluated through an example (an intelligent case of collision avoidance system).