• DocumentCode
    2469874
  • Title

    Bio-inspired self-organization for supporting dynamic reconfiguration of modular agents

  • Author

    Yeom, Kiwon

  • Author_Institution
    Intell. & Interaction Res. Center, Korea Inst. of Sci. & Technol., Seoul, South Korea
  • fYear
    2009
  • fDate
    16-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    13
  • Abstract
    This paper presents an approach to develop and manage a self-organizing distributed components based system in dynamically changing environments. In the proposed approach, an application is composed of a federation of distributed, autonomous and diverse mobile agents. Each mobile agent is implemented as dynamically associated bio-inspired modular components, that can migrate and reconfigure by themselves while the application is being executed. Association between modular components can be changed and transformed according to agents´ local migration schemes including deployment based on biological processes. This paper presents a an adaptive architecture, which can reorganize and reconfigure agents after several biological concepts and mechanisms. We describe several key features of the modular components, depict the design and implementation methodologies of the modular component-based self-organizable framework, and demonstrate how the framework satisfies a set of functional requirements derived from the features of our agents. We also present some simulation results to examine scalability and efficiency of the framework.
  • Keywords
    middleware; self-adjusting systems; agent deployment; agent local migration scheme; agent migration; agent reconfiguration; bio-inspired self-organization; distributed autonomous mobile agent; middleware system; modular agent dynamic reconfiguration; self-organizing distributed components based system; Application software; Biological processes; Biological system modeling; Design methodology; Environmental management; Insects; Intelligent agent; Mobile agents; Social network services; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Computing, 2009. BIC-TA '09. Fourth International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3866-2
  • Electronic_ISBN
    978-1-4244-3867-9
  • Type

    conf

  • DOI
    10.1109/BICTA.2009.5338103
  • Filename
    5338103