Detail publikačního výsledku

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

SALVADOR, R.; OTERO, A.; MORA, J.; DE LA TORRE, E.; SEKANINA, L.; RIESGO, T.

Originální název

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

Anglický název

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

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

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).

Anglický abstrakt

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).

Klíčová slova

Evolvable Hardware, Fault Tolerance, Self-Healing, Autonomous Systems, FPGA, Partial Dynamic Reconfiguration

Klíčová slova v angličtině

Evolvable Hardware, Fault Tolerance, Self-Healing, Autonomous Systems, FPGA, Partial Dynamic Reconfiguration

Autoři

SALVADOR, R.; OTERO, A.; MORA, J.; DE LA TORRE, E.; SEKANINA, L.; RIESGO, T.

Rok RIV

2012

Vydáno

08.12.2011

Nakladatel

IEEE Computer Society

Místo

Los Alamitos

ISBN

978-0-7695-4551-6

Kniha

Proc. of the 2011 International Conference on ReConFigurable Computing and FPGAs

Strany od

164

Strany do

169

Strany počet

6

URL

https://www.fit.vut.cz/research/publication/9831/

BibTex

@inproceedings{BUT76495,
  author="Ruben {Salvador} and Andres {Otero} and Javier {Mora} and Eduardo {De la Torre} and Lukáš {Sekanina} and Teresa {Riesgo}",
  title="Fault Tolerance Analysis and Self-Healing Strategy of Autonomous, Evolvable Hardware Systems",
  booktitle="Proc. of the 2011 International Conference on ReConFigurable Computing and FPGAs",
  year="2011",
  pages="164--169",
  publisher="IEEE Computer Society",
  address="Los Alamitos",
  isbn="978-0-7695-4551-6",
  url="https://www.fit.vut.cz/research/publication/9831/"
}

Dokumenty

reconfig2011_web