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Massachusetts Institute of Technology

Evaluating a TCP model-based network performance measurement method

Abstract

dc:description.abstract

For the end-to-end measurement of network speed, I implement and evaluate a network performance measurement test framework, which allows for the incorporation of expectations and models specific to the network being tested, as originally proposed in the Model Based Metrics (MBM) IETF Internet-Draft [141. Specifically, I construct two tests within the test framework that measure a network's bulk transfer capacity: the Basic Data Rate Test and Sustained Burst Test. I analyze the models used by MBM to specify measurements that are independent of their vantage point, to statistically evaluate measurements, and to compose measurements over subpaths. I also empirically evaluate the two implemented tests in a virtual network setup. MBM offers a framework for comprehensive and modular end-to-end measurement of network performance.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Mou, Merry
Advisor dc:contributor.advisor
  • David Clark.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/113177
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/113177

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

Mou, Merry. Evaluating a TCP model-based network performance measurement method. Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113177