• DocumentCode
    1167628
  • Title

    Integration of dependability in a task allocation problem

  • Author

    Bicking, Frédérique ; Conrard, Blaise ; Thiriet, Jean-Marc

  • Author_Institution
    Nancy Res. Centre in Autom. Control, France
  • Volume
    53
  • Issue
    6
  • fYear
    2004
  • Firstpage
    1455
  • Lastpage
    1463
  • Abstract
    The task allocation on various components or processing units composing an automation system needs a design-aided methodology in order to obtain both relevant architecture of this automation system and a sufficiently efficient task allocation. The dependability, mainly illustrated in our approach by the availability of the process and by the reliability that characterizes the risk of incidents or accident occurrences, can be taken into account in the earliest stage of the automation system design. The main interest is that it allows for the definition of reliable operational and functional architectures. To achieve the task allocation, the search method used must integrate a notion of cost that includes both technological and functional aspects and those linked to the dependability. A genetic approach is used for the task allocation, giving a very satisfactory result in a reasonable computational time.
  • Keywords
    control system synthesis; distributed control; genetic algorithms; intelligent control; reliability; resource allocation; automation system; components; design-aided methodology; distributed systems; processing units; reliability; systems design; task allocation; Accidents; Automatic control; Availability; Computer architecture; Cost function; Design automation; Design methodology; Genetics; Profitability; Telecommunication network reliability; 65; Availability; distributed systems; reliability; systems design; task allocation;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2004.827079
  • Filename
    1360082