Generating Realistic YouTube-like Stall Patterns for HTTP Video Streaming Assessment

Martín Varela; Hyunwoo Nam; Henning Schulzrinne; Toni Mäki

Generating Realistic YouTube-like Stall Patterns for HTTP Video Streaming Assessment

Martín Varela
, Hyunwoo Nam
, Henning Schulzrinne
, Toni Mäki

VTT Technical Research Centre of Finland

Aalto University
Columbia University
VTT (former employee or external)

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

-In this short paper we briefly describe the results of analyzing a large-scale data set of actual YouTube stall patterns collected world-wide as part of Columbia University's YouSlow project, and how we used it to create a simple model for generating realistic stalling patterns with a given number of stalls, a given average stall duration, and a pattern structure (describing the relative length of the stalling events). These stall patterns can be used to perform subjective assessment of HTTP video under realistic conditions. A tool for generating the patterns and the data accompanying this paper has been released for the research community to use.

Original language	English
Title of host publication	Proceedings of 8th International Conference on Quality of Multimedia Experience
Publisher	IEEE Institute of Electrical and Electronic Engineers
Number of pages	2
ISBN (Print)	978-1-5090-0355-6
Publication status	Published - 2016
MoE publication type	A4 Article in a conference publication
Event	8th International Conference on Quality of Multimedia Experience, QoMEX 2016 - Lisbon, Portugal Duration: 6 Jun 2016 → 8 Jun 2016

Conference

Conference	8th International Conference on Quality of Multimedia Experience, QoMEX 2016
Abbreviated title	QoMEX 2016
Country/Territory	Portugal
City	Lisbon
Period	6/06/16 → 8/06/16

Access to Document

http://www.cs.columbia.edu/~hn2203/papers/13_qomex2016.pdf

Cite this

@inproceedings{9458a2682aed4f15b1a768f1897000f6,

title = "Generating Realistic YouTube-like Stall Patterns for HTTP Video Streaming Assessment",

abstract = "-In this short paper we briefly describe the results of analyzing a large-scale data set of actual YouTube stall patterns collected world-wide as part of Columbia University's YouSlow project, and how we used it to create a simple model for generating realistic stalling patterns with a given number of stalls, a given average stall duration, and a pattern structure (describing the relative length of the stalling events). These stall patterns can be used to perform subjective assessment of HTTP video under realistic conditions. A tool for generating the patterns and the data accompanying this paper has been released for the research community to use.",

author = "Mart{\'i}n Varela and Hyunwoo Nam and Henning Schulzrinne and Toni M{\"a}ki",

year = "2016",

language = "English",

isbn = "978-1-5090-0355-6",

booktitle = "Proceedings of 8th International Conference on Quality of Multimedia Experience",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "8th International Conference on Quality of Multimedia Experience, QoMEX 2016, QoMEX 2016 ; Conference date: 06-06-2016 Through 08-06-2016",

}

Varela, M, Nam, H, Schulzrinne, H & Mäki, T 2016, Generating Realistic YouTube-like Stall Patterns for HTTP Video Streaming Assessment. in Proceedings of 8th International Conference on Quality of Multimedia Experience. IEEE Institute of Electrical and Electronic Engineers, 8th International Conference on Quality of Multimedia Experience, QoMEX 2016, Lisbon, Portugal, 6/06/16. <http://www.cs.columbia.edu/~hn2203/papers/13_qomex2016.pdf>

Generating Realistic YouTube-like Stall Patterns for HTTP Video Streaming Assessment. / Varela, Martín; Nam, Hyunwoo; Schulzrinne, Henning et al.
Proceedings of 8th International Conference on Quality of Multimedia Experience. IEEE Institute of Electrical and Electronic Engineers, 2016.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Generating Realistic YouTube-like Stall Patterns for HTTP Video Streaming Assessment

AU - Varela, Martín

AU - Nam, Hyunwoo

AU - Schulzrinne, Henning

AU - Mäki, Toni

PY - 2016

Y1 - 2016

N2 - -In this short paper we briefly describe the results of analyzing a large-scale data set of actual YouTube stall patterns collected world-wide as part of Columbia University's YouSlow project, and how we used it to create a simple model for generating realistic stalling patterns with a given number of stalls, a given average stall duration, and a pattern structure (describing the relative length of the stalling events). These stall patterns can be used to perform subjective assessment of HTTP video under realistic conditions. A tool for generating the patterns and the data accompanying this paper has been released for the research community to use.

AB - -In this short paper we briefly describe the results of analyzing a large-scale data set of actual YouTube stall patterns collected world-wide as part of Columbia University's YouSlow project, and how we used it to create a simple model for generating realistic stalling patterns with a given number of stalls, a given average stall duration, and a pattern structure (describing the relative length of the stalling events). These stall patterns can be used to perform subjective assessment of HTTP video under realistic conditions. A tool for generating the patterns and the data accompanying this paper has been released for the research community to use.

M3 - Conference article in proceedings

SN - 978-1-5090-0355-6

BT - Proceedings of 8th International Conference on Quality of Multimedia Experience

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 8th International Conference on Quality of Multimedia Experience, QoMEX 2016

Y2 - 6 June 2016 through 8 June 2016

ER -

Generating Realistic YouTube-like Stall Patterns for HTTP Video Streaming Assessment

Abstract

Conference

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