{"title":"Uniprocessor EDF scheduling of AVR task systems","authors":"Zhishan Guo, Sanjoy Baruah","doi":"10.1145/2735960.2735976","DOIUrl":null,"url":null,"abstract":"The adaptive varying-rate (AVR) task model has been proposed as a means of modeling certain physically-derived constraints in CPS's in a manner that is more accurate (less pessimistic) than is possible using prior task models from real-time scheduling theory. Existing work on schedulability analysis of systems of AVR tasks is primarily restricted to fixed-priority scheduling; this paper establishes schedulability analysis results for systems of AVR and sporadic tasks under Earliest Deadline First (EDF) scheduling. The proposed analysis techniques are evaluated both theoretically via the speedup factor metric, and experimentally via schedulability experiments on randomly-generated task systems.","PeriodicalId":344612,"journal":{"name":"Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2735960.2735976","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 27
Abstract
The adaptive varying-rate (AVR) task model has been proposed as a means of modeling certain physically-derived constraints in CPS's in a manner that is more accurate (less pessimistic) than is possible using prior task models from real-time scheduling theory. Existing work on schedulability analysis of systems of AVR tasks is primarily restricted to fixed-priority scheduling; this paper establishes schedulability analysis results for systems of AVR and sporadic tasks under Earliest Deadline First (EDF) scheduling. The proposed analysis techniques are evaluated both theoretically via the speedup factor metric, and experimentally via schedulability experiments on randomly-generated task systems.