Realistic scheduling models and analyses for advanced real-time embedded systems

dc.contributor.advisorChen, Jian-Jia
dc.contributor.authorBrüggen, Georg von der
dc.contributor.refereeDavis, Robert I.
dc.date.accepted2019-11-14
dc.date.accessioned2020-01-17T08:37:01Z
dc.date.available2020-01-17T08:37:01Z
dc.date.issued2019
dc.description.abstractFocusing on real-time scheduling theory, the thesis demonstrates how essential realistic scheduling models and analyses are when guaranteeing timing correctness without over-provisioning the necessary system resources. It details potential pitfalls of the de facto standards for theoretical examination of scheduling algorithms and schedulability tests, namely resource augmentation bounds and utilization bounds, and proposes parametric augmentation functions to improve their meaningfulness. Considering uncertain execution behaviour, systems with dynamic real-time guarantees are introduced to model this scenario more realistically than mixed-criticality systems, and the first technique that allows to precisely calculate the worst-case deadline failure probability for task sets with a realistic number of tasks is provided. Furthermore, hybrid self-suspension models are proposed that bridge the gap between the over-flexible dynamic and the over-restrictive segmented self-suspension model with different tradeoffs between accuracy and flexibility.en
dc.identifier.urihttp://hdl.handle.net/2003/38526
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-20445
dc.language.isoende
dc.subjectReal-time systemsen
dc.subjectScheduling theoryen
dc.subjectSpeedup factorsen
dc.subjectUtilization boundsen
dc.subjectUncertain execution behaviouren
dc.subjectMixed-criticallyen
dc.subjectWorst-case deadline failure probabilityen
dc.subjectSelf-suspensionen
dc.subjectResource oriented partitioned schedulingen
dc.subject.ddc004
dc.subject.rswkEchtzeitsystemde
dc.subject.rswkSchedulingde
dc.titleRealistic scheduling models and analyses for advanced real-time embedded systemsen
dc.typeTextde
dc.type.publicationtypedoctoralThesisde
dcterms.accessRightsopen access
eldorado.secondarypublicationfalsede

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