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

Li Ke; Zhou Wanlei; Yu Shui; Li Ping

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

Li Ke^*, Zhou Wanlei, Yu Shui, Li Ping

^*Corresponding author for this work

Deakin University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Knowledge Science, Engineering and Management - Second International Conference, KSEM 2007, Proceedings
Pages	538-543
Number of pages	6
Publication status	Published - 2007
Externally published	Yes
Event	2nd International Conference on Knowledge Science, Engineering and Management, KSEM 2007 - Melbourne, Australia Duration: 28 Nov 2007 → 30 Nov 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4798 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Conference on Knowledge Science, Engineering and Management, KSEM 2007
Country/Territory	Australia
City	Melbourne
Period	28/11/07 → 30/11/07

Keywords

Algorithms
Data management
PCDN

Cite this

Ke, L., Wanlei, Z., Shui, Y., & Ping, L. (2007). Novel data management algorithms in peer-to-peer content distribution networks. In Knowledge Science, Engineering and Management - Second International Conference, KSEM 2007, Proceedings (pp. 538-543). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4798 LNAI).

Ke, Li ; Wanlei, Zhou ; Shui, Yu et al. / Novel data management algorithms in peer-to-peer content distribution networks. Knowledge Science, Engineering and Management - Second International Conference, KSEM 2007, Proceedings. 2007. pp. 538-543 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{9a2f83d258ab4e75a09f2ecc4f9ffee7,

title = "Novel data management algorithms in peer-to-peer content distribution networks",

abstract = "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.",

keywords = "Algorithms, Data management, PCDN",

author = "Li Ke and Zhou Wanlei and Yu Shui and Li Ping",

year = "2007",

language = "English",

isbn = "9783540767183",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "538--543",

booktitle = "Knowledge Science, Engineering and Management - Second International Conference, KSEM 2007, Proceedings",

note = "2nd International Conference on Knowledge Science, Engineering and Management, KSEM 2007 ; Conference date: 28-11-2007 Through 30-11-2007",

}

Ke, L, Wanlei, Z, Shui, Y & Ping, L 2007, Novel data management algorithms in peer-to-peer content distribution networks. in Knowledge Science, Engineering and Management - Second International Conference, KSEM 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4798 LNAI, pp. 538-543, 2nd International Conference on Knowledge Science, Engineering and Management, KSEM 2007, Melbourne, Australia, 28/11/07.

Novel data management algorithms in peer-to-peer content distribution networks. / Ke, Li; Wanlei, Zhou; Shui, Yu et al.
Knowledge Science, Engineering and Management - Second International Conference, KSEM 2007, Proceedings. 2007. p. 538-543 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4798 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Novel data management algorithms in peer-to-peer content distribution networks

AU - Ke, Li

AU - Wanlei, Zhou

AU - Shui, Yu

AU - Ping, Li

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

KW - Algorithms

KW - Data management

KW - PCDN

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M3 - Conference contribution

AN - SCOPUS:38149066016

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Knowledge Science, Engineering and Management - Second International Conference, KSEM 2007, Proceedings

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ER -

Ke L, Wanlei Z, Shui Y, Ping L. Novel data management algorithms in peer-to-peer content distribution networks. In Knowledge Science, Engineering and Management - Second International Conference, KSEM 2007, Proceedings. 2007. p. 538-543. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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

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Keywords

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