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Network distance estimation with dynamic landmark triangles

Published: 02 June 2008 Publication History

Abstract

This paper describes an efficient and accurate approach to estimate the network distance between arbitrary Internet hosts. We use three landmark hosts forming a triangle in two-dimensional space to estimate the distance between arbitrary hosts with simple trigonometrical calculations. To improve the accuracy of estimation, we dynamically choose the "best" triangle for a given pair of hosts using a heuristic algorithm. Our experiments show that this approach achieves both lower computational and network probing cost over the classic landmarks-based approach while producing more accurate estimates.

References

[1]
DipZoom. http://dipzoom.case.edu.
[2]
Gnutella Topology Snapshots. http://mirage.cs.uoregon.edu/P2P/info.cgi.
[3]
T. S. E. Ng and H. Zhang. Predicting internet network distance with coordinates--based approaches. In INFOCOM, 2002.

Cited By

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  • (2011)Measuring a commercial content delivery networkProceedings of the 20th international conference on World wide web10.1145/1963405.1963472(467-476)Online publication date: 28-Mar-2011
  • (2011)Dynamic landmark trianglesComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2011.01.01555:8(1864-1879)Online publication date: 1-Jun-2011
  • (2009)Content delivery networksACM SIGMETRICS Performance Evaluation Review10.1145/1639562.163958537:2(59-60)Online publication date: 16-Oct-2009
  • Show More Cited By

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  1. Network distance estimation with dynamic landmark triangles

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      cover image ACM Conferences
      SIGMETRICS '08: Proceedings of the 2008 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
      June 2008
      486 pages
      ISBN:9781605580050
      DOI:10.1145/1375457
      • cover image ACM SIGMETRICS Performance Evaluation Review
        ACM SIGMETRICS Performance Evaluation Review  Volume 36, Issue 1
        SIGMETRICS '08
        June 2008
        469 pages
        ISSN:0163-5999
        DOI:10.1145/1384529
        Issue’s Table of Contents
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      New York, NY, United States

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      Published: 02 June 2008

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      1. network distance estimation

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      Cited By

      View all
      • (2011)Measuring a commercial content delivery networkProceedings of the 20th international conference on World wide web10.1145/1963405.1963472(467-476)Online publication date: 28-Mar-2011
      • (2011)Dynamic landmark trianglesComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2011.01.01555:8(1864-1879)Online publication date: 1-Jun-2011
      • (2009)Content delivery networksACM SIGMETRICS Performance Evaluation Review10.1145/1639562.163958537:2(59-60)Online publication date: 16-Oct-2009
      • (2019)A Dynamic Virtual Datacenter Selection Strategy for Integrated Cloud Service Platform Construction With MulticloudsIEEE Access10.1109/ACCESS.2019.29561697(172879-172891)Online publication date: 2019

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