A scaleable and robust framework for distributed application.

Jelasity, M, Preuss, M and Paechter, Ben (2002) A scaleable and robust framework for distributed application. Computational Intelligence, Proceedings of the 2002 World on Congress on, 2. pp. 1540-1545.

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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.

Item Type: Article
Additional Information: paper presented at 2002 World on Congress on Computational Intelligence Honolulu, HI, USA May 12-May 17
Uncontrolled Keywords: Scalability; robust; distributed applications; load balancing; parallel evolutionary computation; agent-based simulation; artificial life;
University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Computing
Dewey Decimal Subjects: 000 Computer science, information & general works > 000 Computer science, knowledge & systems > 004 Data processing & computer science
Library of Congress Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Item ID: 3374
Depositing User: Computing Research
Date Deposited: 05 May 2010 14:08
Last Modified: 05 May 2010 14:08

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