000118715 001__ 118715
000118715 005__ 20240319080955.0
000118715 0247_ $$2doi$$a10.1109/LRA.2022.3186489
000118715 0248_ $$2sideral$$a129797
000118715 037__ $$aART-2022-129797
000118715 041__ $$aeng
000118715 100__ $$aRubio-Anguiano, L.
000118715 245__ $$aAccounting for preemption and migration costs in the calculation of hard real-time cyclic executives for MPSoCs
000118715 260__ $$c2022
000118715 5060_ $$aAccess copy available to the general public$$fUnrestricted
000118715 5203_ $$aThis work introduces a methodology to consider preemption and migration overhead in hard real-time cyclic executives on multicore architectures. The approach performs two iterative stages. The first stage takes a cyclic executive, from which the number and timing of all preemptions and migrations for every task is known. Then, it includes this overhead by updating the worst-case execution time (WCET) of the tasks. The second stage calculates a new cyclic executive considering the new WCET of tasks. The stages iterate until the preemption and migration overhead keeps constant. © 2016 IEEE.
000118715 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2019-105660RB-C21-AEI-10.13039-501100011033$$9info:eu-repo/grantAgreement/ES/DGA-ESF/T58-20R
000118715 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000118715 590__ $$a5.2$$b2022
000118715 592__ $$a1.693$$b2022
000118715 591__ $$aROBOTICS$$b10 / 30 = 0.333$$c2022$$dQ2$$eT2
000118715 593__ $$aArtificial Intelligence$$c2022$$dQ1
000118715 593__ $$aBiomedical Engineering$$c2022$$dQ1
000118715 593__ $$aComputer Science Applications$$c2022$$dQ1
000118715 593__ $$aMechanical Engineering$$c2022$$dQ1
000118715 593__ $$aControl and Optimization$$c2022$$dQ1
000118715 593__ $$aControl and Systems Engineering$$c2022$$dQ1
000118715 593__ $$aHuman-Computer Interaction$$c2022$$dQ1
000118715 593__ $$aComputer Vision and Pattern Recognition$$c2022$$dQ1
000118715 594__ $$a7.6$$b2022
000118715 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000118715 700__ $$0(orcid)0000-0001-5940-9837$$aBriz, J. L.$$uUniversidad de Zaragoza
000118715 700__ $$aRamirez-Trevino, A.
000118715 7102_ $$15007$$2035$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Arquit.Tecnología Comput.
000118715 773__ $$g7, 3 (2022), 7990-7997$$pIEEE Robot. autom. let.$$tIEEE Robotics and Automation Letters$$x2377-3766
000118715 8564_ $$s863841$$uhttps://zaguan.unizar.es/record/118715/files/texto_completo.pdf$$yPostprint
000118715 8564_ $$s3265143$$uhttps://zaguan.unizar.es/record/118715/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000118715 909CO $$ooai:zaguan.unizar.es:118715$$particulos$$pdriver
000118715 951__ $$a2024-03-18-13:30:29
000118715 980__ $$aARTICLE