DocumentCode :
523865
Title :
A Peer Selection Algorithm with Consideration of Both Network Topology Information and Node Capability in P2P Network
Author :
Guo, Tao ; Zhou, Xu ; Tang, Hui ; Wu, Zexu
Author_Institution :
High Performance Network Lab., Chinese Acad. of Sci., Beijing, China
Volume :
1
fYear :
2010
fDate :
11-12 May 2010
Firstpage :
293
Lastpage :
298
Abstract :
The features of P2P networking architecture can contribute to robustness and scalability, however, it also introduces network-oblivious traffic, which brings big pressure to the ISPs. Meanwhile, since traffic of P2P applications occupies much of bandwidth in bottleneck links, non-p2p applications may be severely harmed due to lack of bandwidth. To conquer this problem, previous works mainly focused on blocking the P2P traffic to benefit the ISPs, or optimizing peer selection algorithms which can only benefit the P2P applications but ignore the influence to the network. In this paper, we propose an algorithm, which is called PSANIC, to optimize peer selection in P2P networks with consideration of not only network topology information but also node capability. Simulation results show that PSANIC can achieve better performance than traditional DHT algorithms and the algorithm proposed in our previous work in [10], it can also reduce traffic significantly between domains in networks.
Keywords :
IP networks; optimisation; peer-to-peer computing; telecommunication network topology; telecommunication traffic; ISP; P2P networking architecture; PSANIC; bottleneck links; internet service provider; network topology information; network-oblivious traffic; node capability; peer selection algorithm; peer selection algorithms optimization; Bandwidth; Computer networks; Costs; Intelligent networks; Internet; Network servers; Network topology; Peer to peer computing; Service oriented architecture; Telecommunication traffic; network topology information; node capability; peer selection; peer to peer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
Type :
conf
DOI :
10.1109/ICICTA.2010.467
Filename :
5523275
Link To Document :
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