Research Output

A scaleable and robust framework for distributed application.

  This paper describes a novel tool for running distributed experiments on the Internet. The possible applications include simple load balancing, parallel evolutionary computation, agent-based simulation and artificial life. Our environment is based on cutting-edge peer-to-peer (P2P) technology. We demonstrate the potentials of the framework by analyzing a simple distributed multistart hillclimber application. We present theoretical and empirical evidence that our approach is scalable, effective and robust.

  • Type:

    Article

  • Publication Status:

    Published

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    004 Data processing & computer science

Citation

Jelasity, M., Preuss, M. & Paechter, B. (2001). A scaleable and robust framework for distributed application. World Congress on Computational Intelligence. 2, 1540-1545

Authors

Keywords

Scalability; robust; distributed applications; load balancing; parallel evolutionary computation; agent-based simulation; artificial life;

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