{"title":"Ravenscar-Java配置文件中可预测的内存利用率","authors":"J. Kwon, A. Wellings, S. King","doi":"10.1109/ISORC.2003.1199262","DOIUrl":null,"url":null,"abstract":"In this paper, we present the Ravenscar-Java profile from the perspective of memory utilization. This restricted programming model removes language features with high overheads and complex semantics, on which it is hard to perform various static analyses. Several classes in the RTSJ are refined, and a few new classes are added, which all result in a compact, yet powerful and predictable computational model for the development of software-intensive high integrity real-time systems. We provide rationales behind the decisions we have made on the use of memory areas and other language features that can have an effect on the predictability of memory utilization. After that, some analysis approaches are discussed in terms of how they can be developed and beneficially used.","PeriodicalId":204411,"journal":{"name":"Sixth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing, 2003.","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Predictable memory utilization in the Ravenscar-Java profile\",\"authors\":\"J. Kwon, A. Wellings, S. King\",\"doi\":\"10.1109/ISORC.2003.1199262\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present the Ravenscar-Java profile from the perspective of memory utilization. This restricted programming model removes language features with high overheads and complex semantics, on which it is hard to perform various static analyses. Several classes in the RTSJ are refined, and a few new classes are added, which all result in a compact, yet powerful and predictable computational model for the development of software-intensive high integrity real-time systems. We provide rationales behind the decisions we have made on the use of memory areas and other language features that can have an effect on the predictability of memory utilization. After that, some analysis approaches are discussed in terms of how they can be developed and beneficially used.\",\"PeriodicalId\":204411,\"journal\":{\"name\":\"Sixth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing, 2003.\",\"volume\":\"114 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sixth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing, 2003.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISORC.2003.1199262\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sixth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing, 2003.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISORC.2003.1199262","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Predictable memory utilization in the Ravenscar-Java profile
In this paper, we present the Ravenscar-Java profile from the perspective of memory utilization. This restricted programming model removes language features with high overheads and complex semantics, on which it is hard to perform various static analyses. Several classes in the RTSJ are refined, and a few new classes are added, which all result in a compact, yet powerful and predictable computational model for the development of software-intensive high integrity real-time systems. We provide rationales behind the decisions we have made on the use of memory areas and other language features that can have an effect on the predictability of memory utilization. After that, some analysis approaches are discussed in terms of how they can be developed and beneficially used.