Back to results

Massachusetts Institute of Technology

WebRTC based network performance measurements

Abstract

dc:description.abstract

As internet connections achieve gigabit speeds, local area networks (LANs) become the main bottleneck for users connection. Currently, network performance tests focus on end-to-end performance over wide-area networks and provide no platform-independent way to tests LANs in isolation. To fill this gap, I developed a suite of network performance tests that run in a web application. The network tests support LAN performance measurement using WebRTC peer-to-peer technology and statistically evaluate performance according to the Model-Based Metrics framework. Our network testing application is browser based for easy adoption across platforms and can empower users to understand their in-home networks. Our tests hope to give a more accurate view of LAN performance that can influence regulatory policy of internet providers and consumer decisions.

Degree

thesis:*
Name thesis:degree_name
Master
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
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • McClellan, Miranda.
Advisor dc:contributor.advisor
  • Steven Bauer.

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
https://hdl.handle.net/1721.1/123051
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/123051

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

McClellan, Miranda.. WebRTC based network performance measurements. Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123051