Evolving dependability

Authors:
Andy M. Tyrrell;Andrew J. Greensted
Affiliations:
The University of York, Heslington, UK;The University of York, Heslington, UK
Venue:
ACM Journal on Emerging Technologies in Computing Systems (JETC)
Year:
2007

Citing 10
Cited 2

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Cartesian Genetic Programming

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Safe Intrinsic Evolution of Virtex Devices

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Evolutionary Strategies And Intrinsic Fault Tolerance

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An Embryonic Array with Improved Efficiency and Fault Tolerance

EH '03 Proceedings of the 2003 NASA/DoD Conference on Evolvable Hardware
Intrinsic Evolvable Hardware Implementation of a Robust Biological Development Model for Digital Systems

EH '05 Proceedings of the 2005 NASA/DoD Conference on Evolvable Hardware
Explorations in design space: unconventional electronics designthrough artificial evolution

IEEE Transactions on Evolutionary Computation
Immunotronics - novel finite-state-machine architectures withbuilt-in self-test using self-nonself differentiation

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Autonomic fault-handling and refurbishment using throughput-driven assessment

Applied Soft Computing
A hierarchical self-repairing architecture for fast fault recovery of digital systems inspired from paralogous gene regulatory circuits

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

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Abstract

Evolvable hardware offers much for the future of complex systems design. Evolutionary techniques not only have the potential for larger solution space coverage, but when implemented on hardware, also allow system designs to adapt to changes in the environment, including failures in system components. This article reviews a number of novel techniques, all based in the field of bio-inspired systems, that provide varying degrees of dependability over and above standard designs. In particular, three different techniques are considered: using FPGAs and ideas from developmental biology to create designs that possess emergent fault-tolerant properties, using FPGAs and continuous evolution to circumvent faults as and when they occur, and, finally, we consider a novel ASIC designed and built with bio-inspired systems in mind.