• 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