Novel data management algorithms in peer-to-peer content distribution networks

Li, Ke, Zhou, Wanlei, Yu, Shui and Li, Ping 2007, Novel data management algorithms in peer-to-peer content distribution networks, Lecture notes in computer science, vol. 4798, pp. 538-543.

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Title Novel data management algorithms in peer-to-peer content distribution networks
Author(s) Li, Ke
Zhou, Wanlei
Yu, Shui
Li, Ping
Journal name Lecture notes in computer science
Volume number 4798
Start page 538
End page 543
Publisher Springer
Place of publication Berlin, Germany
Publication date 2007
ISSN 0302-9743
1611-3349
Keyword(s) data management
algorithms
PCDN
Summary The peer-to-peer content distribution network (PCDN) is a hot topic recently, and it has a huge potential for massive data intensive applications on the Internet. One of the challenges in PCDN is routing for data sources and data deliveries. In this paper, we studied a type of network model which is formed by dynamic autonomy area, structured source servers and proxy servers. Based on this network model, we proposed a number of algorithms to address the routing and data delivery issues. According to the highly dynamics of the autonomy area, we established dynamic tree structure proliferation system routing, proxy routing and resource searching algorithms. The simulations results showed that the performance of the proposed network model and the algorithms are stable.
Language eng
Field of Research 100503 Computer Communications Networks
Socio Economic Objective 890299 Computer Software and Services not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2007, Springer-Verlag Berlin Heidelberg
Persistent URL http://hdl.handle.net/10536/DRO/DU:30007756

Document type: Journal Article
Collection: School of Engineering and Information Technology
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