A scalable and robust framework for distributed applications

Author

Jelasity, Márk ; Press, M. ; Paechter, Ben

Author_Institution

Dept. of Artificial Intelligence, Free Univ. of Amsterdam, Netherlands

Volume

2

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

1540

Lastpage

1545

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

Keywords

Internet; artificial life; parallel algorithms; resource allocation; software agents; Internet; agent-based simulation; artificial life; cutting-edge peer-to-peer technology; distributed experiments; distributed multistart hillclimber application; load balancing; parallel evolutionary computation; robust framework; scalable framework; Application software; Artificial intelligence; Computational modeling; Distributed computing; Evolutionary computation; Internet; Investments; Java; Load management; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-7282-4

Type

conf

DOI

10.1109/CEC.2002.1004471

Filename

1004471