A scalable and robust framework for distributed applications

Authors:
M. Jelasity;M. Press;B. Paechter
Affiliations:
Dept. of Artificial Intelligence, Free Univ. of Amsterdam, Netherlands;Dept. of Comput. Sci., Brigham Young Univ., Provo, UT, USA;Dept. of Comput. Sci., Nat. Defense Acad., Yokosuka, Japan
Venue:
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Year:
2002

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Abstract

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.