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:


  • Publication Status:


  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    004 Data processing & computer science


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



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

Monthly Views:

Available Documents