{"title":"基于marte的自适应实时嵌入式系统设计模式","authors":"A. Mansour, Mohamed Naija, S. Ahmed","doi":"10.5220/0007673102420248","DOIUrl":null,"url":null,"abstract":"The design of adaptive real-time & embedded systems (RTES) is a hard task due to the complexity of both software/hardware features and the variability in the operational environment. This paper presents a new design pattern intended to support and facilitate the co-modeling and scheduling analysis of RTES. The contribution of this pattern is that is designed to i) support scheduling analysis allowing adaptation mechanisms ii) model all the software/hardware features and allocation in the same view iii) annotate the system with functional and non-functional properties using a high-level modeling language. The generated model from the pattern contains all the needed information to perform the schedulability tests. As a proof of concepts, we present experimental results for an automobile system.","PeriodicalId":420861,"journal":{"name":"International Conference on Evaluation of Novel Approaches to Software Engineering","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A MARTE-Based Design Pattern for Adaptive Real-Time Embedded Systems\",\"authors\":\"A. Mansour, Mohamed Naija, S. Ahmed\",\"doi\":\"10.5220/0007673102420248\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The design of adaptive real-time & embedded systems (RTES) is a hard task due to the complexity of both software/hardware features and the variability in the operational environment. This paper presents a new design pattern intended to support and facilitate the co-modeling and scheduling analysis of RTES. The contribution of this pattern is that is designed to i) support scheduling analysis allowing adaptation mechanisms ii) model all the software/hardware features and allocation in the same view iii) annotate the system with functional and non-functional properties using a high-level modeling language. The generated model from the pattern contains all the needed information to perform the schedulability tests. As a proof of concepts, we present experimental results for an automobile system.\",\"PeriodicalId\":420861,\"journal\":{\"name\":\"International Conference on Evaluation of Novel Approaches to Software Engineering\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Evaluation of Novel Approaches to Software Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0007673102420248\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Evaluation of Novel Approaches to Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0007673102420248","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A MARTE-Based Design Pattern for Adaptive Real-Time Embedded Systems
The design of adaptive real-time & embedded systems (RTES) is a hard task due to the complexity of both software/hardware features and the variability in the operational environment. This paper presents a new design pattern intended to support and facilitate the co-modeling and scheduling analysis of RTES. The contribution of this pattern is that is designed to i) support scheduling analysis allowing adaptation mechanisms ii) model all the software/hardware features and allocation in the same view iii) annotate the system with functional and non-functional properties using a high-level modeling language. The generated model from the pattern contains all the needed information to perform the schedulability tests. As a proof of concepts, we present experimental results for an automobile system.