A Scalable and Robust Framework for Distributed Applications

Jelasity, M.; Preuss, M.; Paechter, B.

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.

Citation

Jelasity, M., Preuss, M., & Paechter, B. (2002, May). A Scalable and Robust Framework for Distributed Applications. Presented at 2002 Congress on Evolutionary Computation (CEC'02), Honolulu, HI, US

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2002 Congress on Evolutionary Computation (CEC'02)
• Start Date: May 12, 2002
• End Date: May 17, 2002
• Online Publication Date: Aug 7, 2002
• Publication Date: Aug 7, 2002
• Deposit Date: Aug 26, 2020
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Not Peer Reviewed
• Pages: 1540-1545
• Book Title: Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02
• ISBN: 780372824
• DOI: https://doi.org/10.1109/CEC.2002.1004471
• Keywords: evolutionary computation
• Public URL: http://researchrepository.napier.ac.uk/id/eprint/2676