DocumentCode
2324258
Title
Prokaryotic Bio-Inspired System
Author
Samie, Mohammad ; Dragffy, Gabriel ; Popescu, Anca ; Pipe, Tony ; Kiely, Janice
Author_Institution
Bristol Robot. Lab., Univ. of the West of England, Bristol, UK
fYear
2009
fDate
July 29 2009-Aug. 1 2009
Firstpage
171
Lastpage
178
Abstract
This paper presents a novel bio-inspired artificial system that is based on biological prokaryotic organisms and their artificial model, and proposes a new type of fault tolerant, self-healing architecture. The system comprises of a sea of bio-inspired cells, arranged in a rectangular array with a topology that is similar to that employed by FPGAs. A key feature of the array is its high level of fault tolerance, achieved with only minimal amount of hardware overhead. Inspired by similar biological processes, the technique is based on direct-correlated redundancy, where the redundant (stand-by) configuration bits, as extrinsic experience, are shared between blocks and cells of a colony in the artificial system. Bio-inspired array implementation is particularly advantageous in applications where the system is subject to extreme environmental conditions such as temperature, radiation, SEU (Single Event Upset) etc. and where fault tolerance is of particular importance.
Keywords
biocomputing; fault tolerant computing; field programmable gate arrays; redundancy; FPGA; artificial system; bio-inspired cell; biological process; direct correlated redundancy; extreme environmental condition; fault tolerant; prokaryotic bio-inspired system; redundant configuration bit; self healing architecture; Biological processes; Biological system modeling; Fault tolerance; Fault tolerant systems; Field programmable gate arrays; Hardware; Organisms; Redundancy; Single event upset; Topology; POE Model; bio-inspired system; embryonics; fault-tolerant; reliability; self-repair; soft computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Adaptive Hardware and Systems, 2009. AHS 2009. NASA/ESA Conference on
Conference_Location
San Francisco, CA
Print_ISBN
978-0-7695-3714-6
Type
conf
DOI
10.1109/AHS.2009.36
Filename
5325455
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