{"title":"摘要:运行时动态WCET估计","authors":"Lia Cagnizi, F. Reghenzani, W. Fornaciari","doi":"10.1145/3576842.3589168","DOIUrl":null,"url":null,"abstract":"To guarantee the timing constraints of real-time IoT devices, engineers need to estimate the Worst-Case Execution Time. Such estimation is always very pessimistic and represents a condition that almost never occurs in practice. In this poster, we present a novel compiler-based approach that instruments the tasks to inform, at run-time, the operating system when non-worst-case branches are taken. The generated slack is then used to take better scheduling decisions.","PeriodicalId":266438,"journal":{"name":"Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Poster Abstract: Run-time Dynamic WCET Estimation\",\"authors\":\"Lia Cagnizi, F. Reghenzani, W. Fornaciari\",\"doi\":\"10.1145/3576842.3589168\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To guarantee the timing constraints of real-time IoT devices, engineers need to estimate the Worst-Case Execution Time. Such estimation is always very pessimistic and represents a condition that almost never occurs in practice. In this poster, we present a novel compiler-based approach that instruments the tasks to inform, at run-time, the operating system when non-worst-case branches are taken. The generated slack is then used to take better scheduling decisions.\",\"PeriodicalId\":266438,\"journal\":{\"name\":\"Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3576842.3589168\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3576842.3589168","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
To guarantee the timing constraints of real-time IoT devices, engineers need to estimate the Worst-Case Execution Time. Such estimation is always very pessimistic and represents a condition that almost never occurs in practice. In this poster, we present a novel compiler-based approach that instruments the tasks to inform, at run-time, the operating system when non-worst-case branches are taken. The generated slack is then used to take better scheduling decisions.