• DocumentCode
    1744719
  • Title

    Simulating agent based processing in an ADS using C++ SIM

  • Author

    Lee, Chiewon ; Kim, Junghwan ; Stach, Jerry ; Park, E.K.

  • Author_Institution
    Missouri Univ., Kansas City, MO, USA
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    231
  • Lastpage
    234
  • Abstract
    Currently public networks have an enormous number of computers capable of providing many services. Autonomous mobile agents are being used to access their information sources. These agents are modeled in the context of network simulation as mobile network processes. The paper demonstrates that distributed mobile agents can be simulated effectively using C++ over CSIM. C++ over CSIM achieves the clarity and logic of agent based simulation for network services. Inheritance and specialization under object orientation allow the design and reuse of simulation objects. This combination facilitates rather straightforward simulation designs that are scalable, accurate, flexible and generalizable. The design for such large scale simulation is sketched and the run time behavior of the simulator is analyzed
  • Keywords
    C++ language; digital simulation; inheritance; mobile computing; object-oriented programming; software agents; ADS; C++ SIM; CSIM; agent based processing simulation; agent based simulation; autonomous mobile agents; distributed mobile agents; information sources; inheritance; large scale simulation; mobile network processes; network services; network simulation; object orientation; public networks; run time behavior; simulation objects; Analytical models; Computational modeling; Context modeling; Cost function; Mathematical programming; Mobile agents; Object oriented modeling; Predictive models; Visualization; Wide area networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomous Decentralized Systems, 2001. Proceedings. 5th International Symposium on
  • Conference_Location
    Dallas, TX
  • Print_ISBN
    0-7695-1065-5
  • Type

    conf

  • DOI
    10.1109/ISADS.2001.917419
  • Filename
    917419