MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

WebRTC based network performance measurements

Author(s)
McClellan, Miranda.
Thumbnail
Download1128023197-MIT.pdf (1.216Mb)
Alternative title
Web real-time communications-based network performance measurements
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Steven Bauer.
Terms of use
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. http://dspace.mit.edu/handle/1721.1/7582
Metadata
Show full item record
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.
Description
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
 
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019
 
Cataloged from student-submitted PDF version of thesis.
 
Includes bibliographical references (pages 59-60).
 
Date issued
2019
URI
https://hdl.handle.net/1721.1/123051
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

Collections
  • Graduate Theses

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.