Performance Evaluation of Adaptive Probabilistic Search in P2P Networks

Haoxiang ZHANG  Lin ZHANG  Xiuming SHAN  Victor O.K. LI  

Publication
IEICE TRANSACTIONS on Communications   Vol.E91-B   No.4   pp.1172-1175
Publication Date: 2008/04/01
Online ISSN: 1745-1345
DOI: 10.1093/ietcom/e91-b.4.1172
Print ISSN: 0916-8516
Type of Manuscript: LETTER
Category: Network
Keyword: 
P2P networks,  generating function,  probabilistic forwarding,  QoS,  

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Summary: 
The overall performance of P2P-based file sharing applications is becoming increasingly important. Based on the Adaptive Resource-based Probabilistic Search algorithm (ARPS), which was previously proposed by the authors, a novel probabilistic search algorithm with QoS guarantees is proposed in this letter. The algorithm relies on generating functions to satisfy the user's constraints and to exploit the power-law distribution in the node degree. Simulation results demonstrate that it performs well under various P2P scenarios. The proposed algorithm provides guarantees on the search performance perceived by the user while minimizing the search cost. Furthermore, it allows different QoS levels, resulting in greater flexibility and scalability.