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A scalable and robust framework for distributed applications

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3 Author(s)
Jelasity, M. ; Dept. of Artificial Intelligence, Free Univ. of Amsterdam, Netherlands ; Press, M. ; Paechter, B.

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

Published in:

Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on  (Volume:2 )

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