Franck Wartel, Leonidas Kosmidis, A. Gogonel, Andrea Baldovin, Z. Stephenson, B. Triquet, E. Quiñones, Code Lo, E. Mezzetti, I. Broster, J. Abella, L. Cucu-Grosjean, T. Vardanega, F. Cazorla
{"title":"基于复杂硬件/软件平台的航电案例时序分析","authors":"Franck Wartel, Leonidas Kosmidis, A. Gogonel, Andrea Baldovin, Z. Stephenson, B. Triquet, E. Quiñones, Code Lo, E. Mezzetti, I. Broster, J. Abella, L. Cucu-Grosjean, T. Vardanega, F. Cazorla","doi":"10.7873/DATE.2015.0189","DOIUrl":null,"url":null,"abstract":"Probabilistic Timing Analysis (PTA) in general and its measurement-based variant called MBPTA in particular have been shown to facilitate the estimation of the worst-case execution time (WCET). MBPTA relies on specific hardware and software support to randomise and/or upper bound a number of sources of execution time variation to drastically reduce the need for user-provided information, thus replacing uncertainty by probabilities. MBPTA has been proven effective for specific single-core processor designs. However, particular hardware features and multicores in general challenge MBPTA application in industrial-quality developments. While solutions to those challenges have been proven on benchmarks, they have not been proven yet on real-world applications, whose timing analysis is far more challenging than that of simple benchmarks. This paper discusses the application of MBPTA to a real avionics system in the context of (1) software-only single-core solutions and (2) hardware-only multicore solutions with an ARINC 653 operating system.","PeriodicalId":162450,"journal":{"name":"2015 Design, Automation & Test in Europe Conference & Exhibition (DATE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"51","resultStr":"{\"title\":\"Timing analysis of an avionics case study on complex hardware/software platforms\",\"authors\":\"Franck Wartel, Leonidas Kosmidis, A. Gogonel, Andrea Baldovin, Z. Stephenson, B. Triquet, E. Quiñones, Code Lo, E. Mezzetti, I. Broster, J. Abella, L. Cucu-Grosjean, T. Vardanega, F. Cazorla\",\"doi\":\"10.7873/DATE.2015.0189\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Probabilistic Timing Analysis (PTA) in general and its measurement-based variant called MBPTA in particular have been shown to facilitate the estimation of the worst-case execution time (WCET). MBPTA relies on specific hardware and software support to randomise and/or upper bound a number of sources of execution time variation to drastically reduce the need for user-provided information, thus replacing uncertainty by probabilities. MBPTA has been proven effective for specific single-core processor designs. However, particular hardware features and multicores in general challenge MBPTA application in industrial-quality developments. While solutions to those challenges have been proven on benchmarks, they have not been proven yet on real-world applications, whose timing analysis is far more challenging than that of simple benchmarks. This paper discusses the application of MBPTA to a real avionics system in the context of (1) software-only single-core solutions and (2) hardware-only multicore solutions with an ARINC 653 operating system.\",\"PeriodicalId\":162450,\"journal\":{\"name\":\"2015 Design, Automation & Test in Europe Conference & Exhibition (DATE)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"51\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Design, Automation & Test in Europe Conference & Exhibition (DATE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7873/DATE.2015.0189\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Design, Automation & Test in Europe Conference & Exhibition (DATE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7873/DATE.2015.0189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Timing analysis of an avionics case study on complex hardware/software platforms
Probabilistic Timing Analysis (PTA) in general and its measurement-based variant called MBPTA in particular have been shown to facilitate the estimation of the worst-case execution time (WCET). MBPTA relies on specific hardware and software support to randomise and/or upper bound a number of sources of execution time variation to drastically reduce the need for user-provided information, thus replacing uncertainty by probabilities. MBPTA has been proven effective for specific single-core processor designs. However, particular hardware features and multicores in general challenge MBPTA application in industrial-quality developments. While solutions to those challenges have been proven on benchmarks, they have not been proven yet on real-world applications, whose timing analysis is far more challenging than that of simple benchmarks. This paper discusses the application of MBPTA to a real avionics system in the context of (1) software-only single-core solutions and (2) hardware-only multicore solutions with an ARINC 653 operating system.