Fault Tolerance Analysis and Self-Healing Strategy of Autonomous, Evolvable Hardware Systems

Salvador Perea, Rubén; Otero Marnotes, Andres; Mora, Javier; Torre Arnanz, Eduardo de la; Sekanina, Lukás y Riesgo Alcaide, Teresa (2011). Fault Tolerance Analysis and Self-Healing Strategy of Autonomous, Evolvable Hardware Systems. En: "2011 International Conference on Reconfigurable Computing and FPGAs (ReConFig)", 30/11/2011 - 02/12/2011, Cancú, México. ISBN 978-1-4577-1734-5. pp. 164-169.

Descripción

Título: Fault Tolerance Analysis and Self-Healing Strategy of Autonomous, Evolvable Hardware Systems
Autor/es:
  • Salvador Perea, Rubén
  • Otero Marnotes, Andres
  • Mora, Javier
  • Torre Arnanz, Eduardo de la
  • Sekanina, Lukás
  • Riesgo Alcaide, Teresa
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 2011 International Conference on Reconfigurable Computing and FPGAs (ReConFig)
Fechas del Evento: 30/11/2011 - 02/12/2011
Lugar del Evento: Cancú, México
Título del Libro: Proceedings of 2011 International Conference on Reconfigurable Computing and FPGAs (ReConFig)
Fecha: 2011
ISBN: 978-1-4577-1734-5
Materias:
Escuela: E.U.I.T. Telecomunicación (UPM) [antigua denominación]
Departamento: Sistemas Electrónicos y de Control [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

This paper presents an analysis of the fault tolerance achieved by an autonomous, fully embedded evolvable hardware system, which uses a combination of partial dynamic reconfiguration and an evolutionary algorithm (EA). It demonstrates that the system may self-recover from both transient and cumulative permanent faults. This self-adaptive system, based on a 2D array of 16 (4×4) Processing Elements (PEs), is tested with an image filtering application. Results show that it may properly recover from faults in up to 3 PEs, that is, more than 18% cumulative permanent faults. Two fault models are used for testing purposes, at PE and CLB levels. Two self-healing strategies are also introduced, depending on whether fault diagnosis is available or not. They are based on scrubbing, fitness evaluation, dynamic partial reconfiguration and in-system evolutionary adaptation. Since most of these adaptability features are already available on the system for its normal operation, resource cost for self-healing is very low (only some code additions in the internal microprocessor core)

Más información

ID de Registro: 13325
Identificador DC: http://oa.upm.es/13325/
Identificador OAI: oai:oa.upm.es:13325
URL Oficial: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6128572
Depositado por: Memoria Investigacion
Depositado el: 28 Nov 2012 08:53
Ultima Modificación: 21 Abr 2016 12:38
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