Modelling P2P data networks under complex system theory. (13th November 2007)

• Record Type: Journal Article
• Authors: Shahabi, Cyrus; Banaei-Kashani, Farnoush
• Is Part Of: International journal of computational science and engineering. Volume 3:Number 2(2007)
• Page Start: 103
• Page End: 111
• Publication Date: 2007-11-13
• Subjects: peer-to-peer networks -- P2P data networks -- complex systems -- small worlds -- distributed search -- modelling -- self-organising architecture; Computer science -- Mathematics -- Periodicals; Computer simulation -- Mathematical aspects -- Periodicals; Computational intelligence -- Periodicals; 004.015105
• Languages: English
• ISSNs: 1742-7185

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.