DocumentCode :
3394365
Title :
Stochastic fluid model for P2P content distribution networks
Author :
Lu, Ying ; Zhang, An ; He, Haifeng ; Deng, Zhiqun
Author_Institution :
Northwestern Polytech. Univ., Xi´´an, China
fYear :
2005
fDate :
4-8 April 2005
Firstpage :
707
Lastpage :
712
Abstract :
Traditional content distributions such as Web cache and content distribution networks need to reconfigure the networks or purchase additional servers to support these services. While P2P content distribution networks do not change the underlying infrastructure. We propose to build the multi-P2P networks based on the current unstructured and structured P2P networks. And the contents are distributed between multi-P2P networks. We explore the stochastic fluid analytical models for the purpose of multi-P2P networks performance. And we get the results of the relation between the content get probability and the number of multi-P2P networks, number of nodes, users´ request rate, content expiration rate through this analytical model. The number of multi-P2P networks has a more impact on the content get probability than that of the universal P2P network. It has been proved that the scheme of constructing multi-P2P networks is effective.
Keywords :
Internet; cache storage; content-addressable storage; file servers; peer-to-peer computing; Web cache; content distribution network; multi-P2P network performance; network reconfiguration; stochastic fluid analytical model; structured P2P network; universal P2P network; unstructured P2P network; Analytical models; IP networks; Microelectronics; Network servers; Peer to peer computing; Performance analysis; Routing; Service oriented architecture; Stochastic processes; Stochastic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Autonomous Decentralized Systems, 2005. ISADS 2005. Proceedings
Print_ISBN :
0-7803-8963-8
Type :
conf
DOI :
10.1109/ISADS.2005.1452174
Filename :
1452174
Link To Document :
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