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Using dynamic, full cache locking and genetic algorithms for cache size minimization in multitasking, preemptive, real-time systems

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Using dynamic, full cache locking and genetic algorithms for cache size minimization in multitasking, preemptive, real-time systems

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Martí Campoy, A.; Rodríguez Ballester, F.; Ors Carot, R. (2013). Using dynamic, full cache locking and genetic algorithms for cache size minimization in multitasking, preemptive, real-time systems. En Theory and Practice of Natural Computing. Springer Verlag (Germany). 157-168. doi:10.1007/978-3-642-45008-2

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/39688

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Title: Using dynamic, full cache locking and genetic algorithms for cache size minimization in multitasking, preemptive, real-time systems
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Abstract:
Cache locking have shown during the last years their usefulness easing the schedulability analysis of multitasking, preemptive, real-time systems. Cache locking provides a high degree of predictability while system performance ...[+]
Subjects: Genetic algorithm , Real-time systems , Cache locking , Schedulability analysis , Cost-saving
Copyrigths: Reserva de todos los derechos
ISBN: 978-3-642-45007-5
Source:
Theory and Practice of Natural Computing. (issn: 0302-9743 )
DOI: 10.1007/978-3-642-45008-2
Publisher:
Springer Verlag (Germany)
Publisher version: http://link.springer.com/chapter/10.1007/978-3-642-45008-2_13
Series: Lecture Notes in Computer Science;8273
Description: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-45008-2_13
Type: Capítulo de libro

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