dc.contributor.advisor | Steven Bauer. | en_US |
dc.contributor.author | McClellan, Miranda. | en_US |
dc.contributor.other | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. | en_US |
dc.date.accessioned | 2019-11-22T00:04:23Z | |
dc.date.available | 2019-11-22T00:04:23Z | |
dc.date.copyright | 2019 | en_US |
dc.date.issued | 2019 | en_US |
dc.identifier.uri | https://hdl.handle.net/1721.1/123051 | |
dc.description | This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. | en_US |
dc.description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019 | en_US |
dc.description | Cataloged from student-submitted PDF version of thesis. | en_US |
dc.description | Includes bibliographical references (pages 59-60). | en_US |
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. | en_US |
dc.description.statementofresponsibility | by Miranda McClellan. | en_US |
dc.format.extent | 60 pages | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Massachusetts Institute of Technology | en_US |
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. | en_US |
dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
dc.subject | Electrical Engineering and Computer Science. | en_US |
dc.title | WebRTC based network performance measurements | en_US |
dc.title.alternative | Web real-time communications-based network performance measurements | en_US |
dc.type | Thesis | en_US |
dc.description.degree | M. Eng. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
dc.identifier.oclc | 1128023197 | en_US |
dc.description.collection | M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science | en_US |
dspace.imported | 2019-11-22T00:04:23Z | en_US |
mit.thesis.degree | Master | en_US |
mit.thesis.department | EECS | en_US |