Dual proximity neighbour selection method for peer-to-peer-based discovery service

  • Authors:
  • Piotr Karwaczyński;Dariusz Konieczny;Jaka Moçnik;Marko Novak

  • Affiliations:
  • Wroclaw University of Technology, Wroclaw, Poland;Wroclaw University of Technology, Wroclaw, Poland;XLab d.o.o., Ljubljana, Slovenia;XLab d.o.o., Ljubljana, Slovenia

  • Venue:
  • Proceedings of the 2007 ACM symposium on Applied computing
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we propose a new, dual method for self-optimization of a pervasive, DHT-based discovery service. This method addresses the topology mismatch problem. On one hand, it selects close neighbours based on static, readily available information (the IP addresses of the nodes) and thus does not require costly periodic probing of many nodes. On the other hand, it enables the overlay network to optimize its topology in run-time in a cost-effective manner. We prove the effectiveness of our method by statistical and experimental verification.