- -

Hardware resources contention-aware scheduling of hard real-time multiprocessor systems

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

  • Estadisticas de Uso

Hardware resources contention-aware scheduling of hard real-time multiprocessor systems

Show full item record

Aceituno-Peinado, JM.; Guasque Ortega, A.; Balbastre, P.; Simó Ten, JE.; Crespo, A. (2021). Hardware resources contention-aware scheduling of hard real-time multiprocessor systems. Journal of Systems Architecture. 118:1-11. https://doi.org/10.1016/j.sysarc.2021.102223

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/183722

Files in this item

Item Metadata

Title: Hardware resources contention-aware scheduling of hard real-time multiprocessor systems
Author: Aceituno-Peinado, José María Guasque Ortega, Ana Balbastre, Patricia Simó Ten, José Enrique Crespo, Alfons
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Abstract:
[EN] In hard real-time embedded systems, switching to multicores is a step that most application domains delay asmuch as possible. This is mainly due to the number of sources of indeterminism, which mainly involve ...[+]
Subjects: Multicore , Real-time , Scheduling , Memory contention , MILP
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Journal of Systems Architecture. (issn: 1383-7621 )
DOI: 10.1016/j.sysarc.2021.102223
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.sysarc.2021.102223
Project ID:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-86520-C3-1-R/ES/SISTEMAS INFORMATICOS PREDECIBLES Y CONFIABLES PARA LA INDUSTRIA 4.0/
Thanks:
This work was supported by the Spanish Science and Innovation Ministry (predictable and dependable computer systems for Industry 4.0) under Grant MICINN: CICYT project PRECON-I4 and Grant TIN2017-86520-C3-1-R
Type: Artículo

recommendations

 

This item appears in the following Collection(s)

Show full item record