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Towards global network positioning

Published: 01 November 2001 Publication History

Abstract

We propose a new approach to predict Internet network distance called Global Network Positioning (GNP). This approach models the Internet as a geometric space and distributedly computes geometric coordinates to characterize the positions of hosts in the Internet. By conducting Internet experiments, we show that the geometric distances implied by the GNP hosts coordinates can accurately predict the Internet network distances.

References

[1]
P. Francis, S. Jamin, V. Paxson, L. Zhang, D.F. Gryniewicz, and Y. Jin. An architecture for a global Internet host distance estimation service. In Proceedings of IEEE INFOCOM '99, New York, NY, March 1999.
[2]
J.A. Nelder and R. Mead. A simplex method for function minimization. Computer-Journal, 7:308-313,1965.

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Published In

cover image ACM Conferences
IMW '01: Proceedings of the 1st ACM SIGCOMM Workshop on Internet measurement
November 2001
319 pages
ISBN:1581134355
DOI:10.1145/505202
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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 November 2001

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SIGCOMM WS'01
Sponsor:
SIGCOMM WS'01: ACM SIGCOMM Internet Measurement Workshop 2001
November 1 - 2, 2001
California, San Francisco, USA

Acceptance Rates

IMW '01 Paper Acceptance Rate 29 of 80 submissions, 36%;
Overall Acceptance Rate 29 of 80 submissions, 36%

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  • (2019)Resource Provisioning in the Edge for IoT Applications With Multilevel ServicesIEEE Internet of Things Journal10.1109/JIOT.2018.28757536:3(4262-4271)Online publication date: Jun-2019
  • (2019)Artificial Intelligence-Based Distributed Network Latency Measurement2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)10.1109/I2MTC.2019.8826859(1-6)Online publication date: May-2019
  • (2018)A survey and comparison on overlay‐underlay mapping techniques in peer‐to‐peer overlay networksInternational Journal of Communication Systems10.1002/dac.387232:3Online publication date: 21-Dec-2018
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  • (2015)TingProceedings of the 2015 Internet Measurement Conference10.1145/2815675.2815701(289-302)Online publication date: 28-Oct-2015
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