Analysis of the topological adjustment in peer-to-peer networks based on graph theory

Zhi Jun Li; Ming Hong Liao

Analysis of the topological adjustment in peer-to-peer networks based on graph theory

Zhi Jun Li, Ming Hong Liao

Computer Science and Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

The formal analyses of the topological adjusting problem and the topological adjusting algorithms are provided, the performance of many adjusting mechanisms are disscussed, and the correct mechanisms are discovered based on the graph. From above formal analyses, an architecture called as P2PTA³ which can combine the topology adjusting mechanisms is devised and implemented. Experimental results show that P2PTA³ can achieve good effect in query efficiency.

Original language	English (US)
Pages (from-to)	1110-1113
Number of pages	4
Journal	Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology
Volume	39
Issue number	7
State	Published - Jul 1 2007

Keywords

Graph theory
Peer-to-peer networks
Topologies adjusting

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abstract = "The formal analyses of the topological adjusting problem and the topological adjusting algorithms are provided, the performance of many adjusting mechanisms are disscussed, and the correct mechanisms are discovered based on the graph. From above formal analyses, an architecture called as P2PTA3 which can combine the topology adjusting mechanisms is devised and implemented. Experimental results show that P2PTA3 can achieve good effect in query efficiency.",

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AB - The formal analyses of the topological adjusting problem and the topological adjusting algorithms are provided, the performance of many adjusting mechanisms are disscussed, and the correct mechanisms are discovered based on the graph. From above formal analyses, an architecture called as P2PTA3 which can combine the topology adjusting mechanisms is devised and implemented. Experimental results show that P2PTA3 can achieve good effect in query efficiency.

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Analysis of the topological adjustment in peer-to-peer networks based on graph theory

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