IEICE Transactions on Communications
Online ISSN : 1745-1345
Print ISSN : 0916-8516
Regular Section
Performance Evaluation of Adaptive Probabilistic Search in P2P Networks
Haoxiang ZHANGLin ZHANGXiuming SHANVictor O. K. LI
Author information
JOURNAL RESTRICTED ACCESS

2008 Volume E91.B Issue 4 Pages 1172-1175

Details
Abstract

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.

Content from these authors
© 2008 The Institute of Electronics, Information and Communication Engineers
Previous article Next article
feedback
Top