The P2P Model Based on the Similarity of Active Peers

Abstract:

In application of network technologies, the peer to peer technologies is becoming one of the hot spots in network research fields. In order to enhance the efficiency and effectiveness of the P2P network, a lot of architecture schemes for organizing the peers and the files in the P2P network are put forward which are mainly concentrated on the network characteristics of the peers and the file transmission. A P2P model based on the similarity of active peers is put forward. In the proposed model, the peers’ interests to the files are utilized to describe the similarities of the peers. By the similarities among the peers, the peer groups are clustered. Utilizing the representative clustering group, the interconnections among active peers are built according to the representative group selected by Hamming network.

• Periodical: Applied Mechanics and Materials (Volumes 278-280)
• Pages: 2044-2047
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.278-280.2044
• Online since: January 2013
• Authors: Hua Mei Du, Yong Sheng Huang, Geng Lu Zhang
• Keywords: Active Peer, P2P

References

[1] Ganjam, A., et al., On-demand waypoints for live P2P video broadcasting. Peer-to-Peer Networking and Applications, 2010. 3(4): pp.277-293.

DOI: 10.1007/s12083-009-0059-1

[2] Ding, J. -W. and S. -Y. Lan, Quality-adaptive proxy caching for peer-to-peer video streaming using multiple description coding. Journal of Information Science and Engineering, 2009. 25(3): pp.687-701.

[3] Su, X., Y. Bai, and S.K. Dhaliwal, On optimal file distribution in practical. Journal of Communications, 2012. 5(9): pp.703-714.

[4] Yu, K., et al., Analysis of overlay topology of peer-to-peer applications. Journal of China Universities of Posts and Telecommunications, 2011. 17(SUPPL. 2): pp.60-66.

DOI: 10.1016/s1005-8885(09)60581-1

[5] Walkowiak, K., Anycasting in connection-oriented computer networks: Models, algorithms and results. International Journal of Applied Mathematics and Computer Science, 2010. 20(1): pp.207-220.

DOI: 10.2478/v10006-010-0015-5

[6] Oztoprak, K. and G.B. Akar, Hybrid fault tolerant peer to peer video streaming architecture. IEICE Transactions on Communications, 2008. E91-B(11): pp.3627-3638.

DOI: 10.1093/ietcom/e91-b.11.3627

[7] Hayakawa, A., et al. Efficient update propagation by speculating replica locations on peer-to-peer networks. 2009. Shenzhen, Guangdong, China: IEEE Computer Society.

DOI: 10.1109/icpads.2009.98

[8] Wei, X. and D. -Y. Long. P2P content-propagation mechanism tailored by network coding. 2009. Wuhan, China: IEEE Computer Society.

[9] Halinger, G. and F. Hartleb, Content delivery and caching from a network provider's perspective. Computer Networks, 2011. 55(18): pp.3991-4006.

DOI: 10.1016/j.comnet.2011.07.026

[10] Xia, Y., et al., Algorithms and performance of load-balancing with multiple hash functions in massive content distribution. Computer Networks, 2009. 53(1): pp.110-125.

DOI: 10.1016/j.comnet.2008.10.003

[11] Tran, N., J. Li, and L. Subramanian. Collusion-resilient credit-based reputations for peer-to-peer content distribution. 2010. Vancouver, BC, Canada: Association for Computing Machinery.

DOI: 10.1145/1879082.1879085

[12] Labib, Y., A. El Sherbini, and A. Sabri. Clustered P2P proxy-assisted architecture for on demand media streaming. 2009. Kota Kinabalu, Malaysia: IEEE Computer Society.

DOI: 10.1109/icctd.2009.17

[13] Kozat, U.C., et al., Peer assisted video streaming with supply-demand-based cache optimization. IEEE Transactions on Multimedia, 2009. 11(3): pp.494-508.

DOI: 10.1109/tmm.2009.2012918