{"title":"以最小的内存使用量高效实现AUTOSAR组件","authors":"Haibo Zeng, M. Natale","doi":"10.1109/SIES.2012.6356578","DOIUrl":null,"url":null,"abstract":"The adoption of AUTOSAR in the development of automotive electronics can increase the portability and reuse of functional components. Inside each component, the behavior is represented by a set of runnables, defining reactions executed in response to an event or periodic computations. The implementation of AUTOSAR runnables in a concurrent program executing as a set of tasks reveals several issues and trade-offs because of the need to protect communication and state variables, to guarantee deadlines and to preserve the flow semantics of the model and the objective of using the least possible amount of memory. We discuss some of these tradeoffs and options and outline a problem formulation that can be used to compute the solution with minimum memory requirements executing within the time constraints.","PeriodicalId":219258,"journal":{"name":"7th IEEE International Symposium on Industrial Embedded Systems (SIES'12)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"Efficient implementation of AUTOSAR components with minimal memory usage\",\"authors\":\"Haibo Zeng, M. Natale\",\"doi\":\"10.1109/SIES.2012.6356578\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The adoption of AUTOSAR in the development of automotive electronics can increase the portability and reuse of functional components. Inside each component, the behavior is represented by a set of runnables, defining reactions executed in response to an event or periodic computations. The implementation of AUTOSAR runnables in a concurrent program executing as a set of tasks reveals several issues and trade-offs because of the need to protect communication and state variables, to guarantee deadlines and to preserve the flow semantics of the model and the objective of using the least possible amount of memory. We discuss some of these tradeoffs and options and outline a problem formulation that can be used to compute the solution with minimum memory requirements executing within the time constraints.\",\"PeriodicalId\":219258,\"journal\":{\"name\":\"7th IEEE International Symposium on Industrial Embedded Systems (SIES'12)\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"7th IEEE International Symposium on Industrial Embedded Systems (SIES'12)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIES.2012.6356578\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"7th IEEE International Symposium on Industrial Embedded Systems (SIES'12)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIES.2012.6356578","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient implementation of AUTOSAR components with minimal memory usage
The adoption of AUTOSAR in the development of automotive electronics can increase the portability and reuse of functional components. Inside each component, the behavior is represented by a set of runnables, defining reactions executed in response to an event or periodic computations. The implementation of AUTOSAR runnables in a concurrent program executing as a set of tasks reveals several issues and trade-offs because of the need to protect communication and state variables, to guarantee deadlines and to preserve the flow semantics of the model and the objective of using the least possible amount of memory. We discuss some of these tradeoffs and options and outline a problem formulation that can be used to compute the solution with minimum memory requirements executing within the time constraints.