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NANOG Meeting Presentation Abstract

Measuring YouTube Quality of Experience for Users in Residential ISPs
Meeting: NANOG57
Date / Time: 2013-02-05 12:00pm - 12:30pm
This item is webcast
Room: Crystal Ballroom A-C
Presenters: Speakers:

Deep Medhi, University of Missouri-Kansas City

Deep Medhi is Curators' Professor in the Department of Computer Science and Electrical Engineering at the University of Missouri-Kansas City (UMKC). He received his Ph.D. in Computer Sciences from the University of Wisconsin-Madison. Prior to joining UMKC in 1989, he was a member of the technical staff at AT&T Bell Laboratories. He was an invited visiting professor at the Technical University of Denmark, a visiting research fellow at Lund Institute of Technology, Sweden, a research visitor at University of Campinas, Brazil, and served as a Fulbright Senior Specialist. He is the Editor-in-Chief of Springer's Journal of Network and Systems Management, and is on the editorial board of IEEE/ACM Transactions on Networking, IEEE Transactions on Network and Service Management, and IEEE Communications Surveys & Tutorials. He has published more than a hundred papers, and is co-author of the books, "Routing, Flow, and Capacity Design in Communication and Computer Networks" (2004) and "Network Routing: Algorithms, Protocols, and Architectures" (2007), both published by Morgan Kaufmann Publishers, an imprint of Elsevier Science.
Abstract: Measuring Quality of Experience (QoE) with YouTube from users accessing from Residential ISPs is often a difficult task. First, there is the problem of a good data collection mechanism, second is the issue of being able to obtain precise information on metrics that impact QoE such as video start time, number of interruptions, duration of interruptions, etc. Due to YouTube's content distribution architecture, it is also important to be able to obtain information on how the location from where a video is served impacts QoE metrics for end users.

We have developed Pytomo, a tool that emulates YouTube viewing experience by end users, through which we can collect a number of QoE metrics along with information on CDN. The tool is made available in the public domain at http://code.google.com/p/pytomo/

Using this tool, we have collected data from end users accessing YouTube from three different residential ISPs. In this talk, we will present observed QoE along with impact due to CDN. We will also discuss how such a tool can be useful to ISPs ( (it has been deployed by one ISP).

This is a joint work by Parikshit Juluri*, Louis Plissonneau+, Yong Zeng*, Deep Medhi* (*University of Missouri-Kansas City, USA; +Orange Labs, France)
Files: pdfMeasuring YouTube Quality of Experience for Users in Residential ISPs(PDF)
youtubeMeasuring YouTube Quality of Experience for Users in Residential ISPs
Sponsors: None.

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