NDLI: An Optimized Distributed Clustering Algorithm in Advanced 3-Layer Peer-to-Peer Network

Content Provider	IEEE Xplore Digital Library
Author	Zhiyi Feng Zhijing Liu
Copyright Year	2008
Description	Author affiliation: Sch. of Comput. Sci. & Technol., Xidian Univ., Xi'an (Zhiyi Feng; Zhijing Liu)
Abstract	In this paper, an advanced 3-layer peer-to-peer architecture and algorithm is introduced. The core of it is activated-peer of middle layer that is oriented on special P2P applications, such as large-scale network clustering and cooperation work. Our architecture is based on a multi-layer network of peer neighborhoods. Many activated-peers which act as management center of its lower neighborhoods are grouped to form upper level cluster. The level of activated-peer is dynamic which depends on neighborhood threshold set by root peer. Using this model, the clustering problem can be partitioned in an iterative way like solving each part individually in bottom peer which gets primitive data, then combine clustering up to upper activated-peer and repeat this method to the root peer of network. The matching algorithm is applied to a distributed document clustering problem of our architecture. It acts satisfied efficiency with comparable clustering quality to the centralized approach in the experiments.
Starting Page	405
Ending Page	409
File Size	272122
Page Count	5
File Format	PDF
ISBN	9780769533056
DOI	10.1109/FSKD.2008.279
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Peer to peer computing Clustering algorithms Computer architecture Telecommunication traffic Traffic control Distributed decision making Large-scale systems Data mining Fuzzy systems
Content Type	Text
Resource Type	Article

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