Shortest Path Algorithms for Real-Time Scheduling of FIFO tasks with Minimal Energy Use

dc.contributorReal time and interoperability (TRIO) ; INRIA Lorraine ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS)
dc.contributorMax-plus algebras and mathematics of decision (MAXPLUS) ; Inria Paris-Rocquencourt ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
dc.creatorGaujal, Bruno
dc.creatorNavet, Nicolas
dc.creatorWalsh, Cormac
dc.date2005
dc.date.accessioned2026-07-25T13:46:50Z
dc.descriptionArticle dans revue scientifique avec comité de lecture. internationale.
dc.descriptionInternational audience
dc.descriptionWe present an algorithm for scheduling a set of non-recurrent tasks (or jobs) with FIFO real-time constraints so as to minimize the total energy consumed when the tasks are performed on a dynamically variable voltage processor. Our algorithm runs in linear time and is thus an improvement over the classical algorithm of Yao et al. in this case. It was inspired by considering the problem as a shortest path problem. We also propose an algorithm to deal with the case where the processor has only a limited number of clock frequencies. This algorithm gives the optimum schedule with the minimum number of speed changes, which is important when the speed switching overhead cannot be neglected. All our algorithms are linear in the number of tasks if the arrivals and deadlines are sorted and need O(N\log N) time otherwise. These complexities are shown to be the best possible. Finally, we extend our results to fluid tasks and to non-convex cost functions.en
dc.identifierinria-00099957
dc.identifierhttps://inria.hal.science/inria-00099957
dc.identifierDOI: 10.1145/1113830.1113838
dc.identifier.urihttps://dspace.dare.co.zw/handle/123456789/20295
dc.languageen
dc.publisherCCSD
dc.publisherACM
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/10.1145/1113830.1113838
dc.sourceISSN: 1539-9087
dc.sourceEISSN: 1558-3465
dc.sourceACM Transactions on Embedded Computing Systems (TECS)
dc.sourcehttps://inria.hal.science/inria-00099957
dc.sourceACM Transactions on Embedded Computing Systems (TECS), 2005, 4 (4), ⟨10.1145/1113830.1113838⟩
dc.subjectreal-time systemsfr
dc.subjectlow-powerfr
dc.subjectschedulingfr
dc.subjectfaible consommationfr
dc.subjectordonnancementfr
dc.subjectvariation dynamique du voltagefr
dc.subjectdynamic voltage scalingfr
dc.subjectsystèmes temps réelfr
dc.subject[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]
dc.titleShortest Path Algorithms for Real-Time Scheduling of FIFO tasks with Minimal Energy Useen
dc.typeinfo:eu-repo/semantics/article
dc.typeJournal articles

Files