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dc.contributor.authorGomez, Iosu
dc.contributor.authorDíaz de Cerio, Unai
dc.contributor.authorParra, Jorge
dc.contributor.authorRivas Concepción, Juan María 
dc.contributor.authorGutiérrez García, José Javier 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2024-01-08T11:16:20Z
dc.date.available2024-01-08T11:16:20Z
dc.date.issued2023-07-13
dc.identifier.urihttps://hdl.handle.net/10902/31005
dc.description.abstractThis is an early stage proposal of a methodology that can be applied to the data-flow analysis of an application where software can be decomposed in task DAGs, thus it answers in part to the proposed industrial challenge. The methodology builds on two main aspects: (1) using an ARINC-like scheduler, i.e., the partitioning concept can provide applications with strong temporal and space isolation (in addition, fixed priorities are allowed inside a partition at a second scheduling level), and (2) an existing modelling and schedulability analysis technique for distributed multipath flows (DAGs). This technology can be applied to multicore processors (shared bus for global memory plus core-local memory) where the worst-case execution time (WCET) of tasks can be measured or estimated through worst-case assumptions on the memory contention representing a bounded impact in the response times.es_ES
dc.description.sponsorshipThis work was partially supported by MCIN/ AEI /10.13039/501100011033/ FEDER “Una manera de hacer Europa” under grants PID2021-124502OB-C42 and PID2021-124502OB-C44 (PRESECREL)es_ES
dc.language.isoenges_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.source35th Euromicro Conference on Real-Time Systems (ECRTS 2023), Vienna (Austria), Industrial Challenge (Early Stage Proposal)es_ES
dc.subject.otherReal-timees_ES
dc.subject.otherSchedulinges_ES
dc.subject.otherSchedulability analysises_ES
dc.subject.otherOptimizationes_ES
dc.subject.otherDistributed DAGses_ES
dc.subject.otherHeterogeneous hardwarees_ES
dc.titleAnalysis and Optimization of Real-Time Applications Running on Heterogeneous Hardwarees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.type.versionpublishedVersiones_ES


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Attribution-NonCommercial-NoDerivatives 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 International