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Efficient gnutella-like P2P overlay construction

  • Yimhao Liu*
  • , Li Xiao
  • , Lionel M. Ni
  • , Baijian Yang
  • *Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/ReportBook Chapterpeer-review

Abstract

Without assuming any knowledge of the underlying physical topology, the conventional P2P mechanisms are designed to randomly choose logical neighbors, causing a serious topology mismatch problem between the P2P overlay network and the underlying physical network. This mismatch problem incurs a great stress in the Internet infrastructure and adversely restraints the performance gains from the various search or routing techniques. In order to alleviate the mismatch problem, reduce the unnecessary traffic and response time, we propose two schemes, namely, location-aware topology matching (LTM) and scalable bipartite overlay (SBO) techniques. Both LTM and SBO achieve the above goals without bringing any noticeable extra overheads. More-over, both techniques are scalable because the P2P over-lay networks are constructed in a fully distributed manner where global knowledge of the network is not necessary. This paper demonstrates the effectiveness of LTM and SBO, and compares the performance of these two approaches through simulation studies.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsHai Jin, Hao Chen, Guang R. Gao, Zhiwei Xu
PublisherSpringer Verlag
Pages146-153
Number of pages8
ISBN (Print)3540233881, 9783540233886
DOIs
Publication statusPublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3222
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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