{"title":"A real-time execution performance agent interface to parametrically controlled in-kernel pipelines","authors":"Sam Siewert, M. Humphrey","doi":"10.1109/RTTAS.1997.601355","DOIUrl":null,"url":null,"abstract":"This paper presents work-in-progress to build a confidence-based in-kernel pipeline execution performance interface to a fixed priority deadline monotonic scheduler. The interface provides performance-controlled pipeline execution, allowing applications to specify expected execution times, negotiate desired deadline confidence and to configure and control pipelines. The confidence-based scheduling interface and in-kernel pipeline are being evaluated on an unoccupied air vehicle incorporating digital control, continuous media, and event-driven pipelines.","PeriodicalId":448474,"journal":{"name":"Proceedings Third IEEE Real-Time Technology and Applications Symposium","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Third IEEE Real-Time Technology and Applications Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTTAS.1997.601355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
This paper presents work-in-progress to build a confidence-based in-kernel pipeline execution performance interface to a fixed priority deadline monotonic scheduler. The interface provides performance-controlled pipeline execution, allowing applications to specify expected execution times, negotiate desired deadline confidence and to configure and control pipelines. The confidence-based scheduling interface and in-kernel pipeline are being evaluated on an unoccupied air vehicle incorporating digital control, continuous media, and event-driven pipelines.