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Massachusetts Institute of Technology

Discovering network topology by correlating end-to-end delay measurements

Abstract

dc:description.abstract

Conventional methods of discovering network topology require the cooperation of network elements. We present a method of network topology discovery based solely upon end-to-end delay measurements that requires only the cooperation of end systems. Previous work using end-to-end measurements has focused on discovering tree topologies; the method here discovers more general networks. The discovery method is based on two algorithms: the matroid algorithm and the correlation algorithm. This work develops and validates the correlation algorithm for three increasingly sophisticated network models using simulation. We also develop an indicator of the quality of a particular result.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2001

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Baron, Jason Ivan Howard, 1978-
Advisor dc:contributor.advisor
  • Mark W. Garrett and Hari Balakrishnan.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/16762
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/16762

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Baron, Jason Ivan Howard, 1978-. Discovering network topology by correlating end-to-end delay measurements. Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/16762