A layered model for quality estimation of HTTP video from QoS measurements

Toni Mäki, Martin Varela, Doreid Ammar

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

16 Citations (Scopus)

Abstract

HTTP video is quickly becoming a dominating type of traffic on the Internet, with popular services such as YouTube and Netflix being used by hundreds of millions of users daily, and showing ever-growing usage numbers. Understanding Quality of Experience (QoE) for these services is an important topic, and one that has been addressed in the literature. However, the available works focus on the impact of application-level events (e.g. stalls) on the perceived quality, but not on the underlying cause, i.e., network-level impairments, as the relation between Quality of Service (QoS) and QoE is significantly more complex than it was in the case of RTP/UDP based video, due to HTTP video being streamed over TCP. In this paper we present a first step in the direction of solving this QoS-to-QoE mapping for HTTP video, by providing a (parametric) layered model approach for network-side QoE monitoring. A Layered Model for Quality Estimation of HTTP Video from QoS Measurements.
Original languageEnglish
Title of host publication11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages591-598
ISBN (Electronic)978-1-4673-9721-6
DOIs
Publication statusPublished - 8 Feb 2015
MoE publication typeA4 Article in a conference publication
Event11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015 - Bangkok, Thailand
Duration: 23 Nov 201527 Nov 2015

Conference

Conference11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015
Abbreviated titleSITIS 2015
Country/TerritoryThailand
CityBangkok
Period23/11/1527/11/15

Keywords

  • HTTP video
  • QoS

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