Improving the lookup performance of chord network by hashing landmark clusters

N. Shuai Yu, Yu Ben Miao, Ce Kuen Shieh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

DHTs are efficient peer-to-peer systems which can locate objects within an bounded amount of overlay hops. Originally, those systems don't exploit network proximity in the underlying Internet and lead to high latency when searching a target. Recently, some approaches, such as Random Landmarking (RLM) and Lookup-Parasitic Random Sampling (LPRS), have been suggested to build topology-aware overlay to improve the lookup efficiency. Although these approaches help the nodes in P2P system to be aware of the underlying network, they do a limited improvement because of their proximity neighbor selection. In this paper, a hashing landmark clusters (HLC) method is proposed to improve the performance of Chord by improving the accuracy of proximity mapping between overlay network and physical network The analysis demonstrates that our approach can reduce the lookup latency better than RLM & LPRS can.

Original languageEnglish
Title of host publicationProceedings - 2006 IEEE International Conference on Networks, ICON 2006 - Networking-Challenges and Frontiers
Pages471-474
Number of pages4
DOIs
Publication statusPublished - 2006
Event2006 IEEE International Conference on Networks, ICON 2006 - Networking-Challenges and Frontiers - Singapore, Singapore
Duration: 2006 Sept 132006 Sept 15

Publication series

NameProceedings - 2006 IEEE International Conference on Networks, ICON 2006 - Networking-Challenges and Frontiers
Volume2

Other

Other2006 IEEE International Conference on Networks, ICON 2006 - Networking-Challenges and Frontiers
Country/TerritorySingapore
CitySingapore
Period06-09-1306-09-15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Communication

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