Research Output
A Scalable and Robust Framework for Distributed Applications
  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.

  • Date:

    07 August 2002

  • Publication Status:


  • DOI:


  • Funders:

    Historic Funder (pre-Worktribe)


Jelasity, M., Preuss, M., & Paechter, B. (2002). A Scalable and Robust Framework for Distributed Applications. In Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02. , (1540-1545).



evolutionary computation

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