Popularity adaptive search in hybrid P2P systems

  • Authors:
  • Xiaoqiu Shi;Jinsong Han;Yunhao Liu;Lionel M. Ni

  • Affiliations:
  • Department of Computer Science, Wenzhou University, Zhejiang, China;Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong;Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong;Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong

  • Venue:
  • Journal of Parallel and Distributed Computing
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

In a hybrid peer-to-peer (P2P) system, flooding and DHT are both employed for content locating. The decision to use flooding or DHT largely depends on the population of desired data. Previous works either use local information only, or do not consider dynamic factors of P2P systems. In this paper, we propose a Popularity Adaptive Search method for Hybrid (PASH) protocol. By dynamically estimating the content popularity, PASH properly selects search methods so as to efficiently saves query traffic cost and response time. We evaluate PASH through synthetic and trace-driven simulations. The results show that PASH outperforms existing approaches and it also scales well.