Modelling P2P data networks under complex system theory
Source: International Journal of Computational Science and Engineering, Volume 3, Number 2, 11 November 2007 , pp. 103-111(9)
Publisher: Inderscience Publishers
Abstract:A Peer‐to‐peer Data Network (PDN) is an open and evolving society of peer nodes that assemble into a network to share their data. We argue that with a self‐organising, dynamic, and large‐scale architecture, instead of traditional distributed computing systems, PDNs should be classified with natural complex systems (such as social networks). The 'complex system theory' is a meta‐theory that provides a common modelling framework to study such complex systems under one umbrella. In this paper, for the first time we introduce and apply the complex system theory as a modelling framework to study PDNs.
Document Type: Research Article
Affiliations: 1: Computer Science Department, University of Southern California, Los Angeles, California 90089-0781, USA. 2: Computer Science Department, University of Southern California, Los Angeles, California 90089-0781, USA
Publication date: 11 November 2007
- International Journal of Computational Science and Engineering addresses the state of the art of all aspects of computational science and engineering with emphasis on computational methods and techniques for science and engineering applications.
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