{"title":"DETERMINING REAL-TIME PROCESSING RESERVE IN MULTITASKING SYSTEMS","authors":"J. Preston, Paul A. Little, L. Martin","doi":"10.1109/DASC.1995.482915","DOIUrl":null,"url":null,"abstract":"The ability to accurately predict usable processing reserve is needed in many real-time software applications. Earlier research has shown that there are limits on the amount of available processor throughput that can be used to perform work with hard real-time deadlines. In this paper, we present an approach for determining and manipulating usable real-time processing reserve for multitasking systems that use preemptive, priority-based scheduling rules. Such systems must be prioritized using either rate monotonic, or deadline monotonic criteria. The approach computes real-time processing reserve for a schedulable task set, assuming that additional computation requirements will be levied on existing tasks. The approach includes a method for computing the maximum work that can be performed by an added task while preserving schedulability of the task set. Additionally, we introduce a method for balancing work within a task set to increase available real-time processing reserve. The method can be conditionally applied to harmonic tasks within a task set to improve the work efficiency of a processing resource.","PeriodicalId":125963,"journal":{"name":"Proceedings of 14th Digital Avionics Systems Conference","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 14th Digital Avionics Systems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DASC.1995.482915","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The ability to accurately predict usable processing reserve is needed in many real-time software applications. Earlier research has shown that there are limits on the amount of available processor throughput that can be used to perform work with hard real-time deadlines. In this paper, we present an approach for determining and manipulating usable real-time processing reserve for multitasking systems that use preemptive, priority-based scheduling rules. Such systems must be prioritized using either rate monotonic, or deadline monotonic criteria. The approach computes real-time processing reserve for a schedulable task set, assuming that additional computation requirements will be levied on existing tasks. The approach includes a method for computing the maximum work that can be performed by an added task while preserving schedulability of the task set. Additionally, we introduce a method for balancing work within a task set to increase available real-time processing reserve. The method can be conditionally applied to harmonic tasks within a task set to improve the work efficiency of a processing resource.