A scaleable and robust framework for distributed application.

Jelasity, M; Preuss, M; Paechter, Ben

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). A scaleable and robust framework for distributed application. World Congress on Computational Intelligence, 2, 1540-1545

• Journal Article Type: Article
• Publication Date: 2002
• Deposit Date: May 5, 2010
• Peer Reviewed: Peer Reviewed
• Volume: 2
• Pages: 1540-1545
• Keywords: Scalability; robust; distributed applications; load balancing; parallel evolutionary computation; agent-based simulation; artificial life
• Public URL: http://researchrepository.napier.ac.uk/id/eprint/3374
• Publisher URL: http://doi.ieeecomputersociety.org/10.1109/CEC.2002.1004471