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":"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}
引用次数: 51
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.