Study of YouTube demand patterns in mixed public and campus WiFi network

Jukka-Pekka Laulajainen; Åke Arvidsson; Timo Ojala; Janne Seppänen; Manxing Du

doi:10.1109/IWCMC.2014.6906430

Study of YouTube demand patterns in mixed public and campus WiFi network

Jukka-Pekka Laulajainen, Åke Arvidsson, Timo Ojala, Janne Seppänen, Manxing Du

VTT Technical Research Centre of Finland

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

1 Citation (Scopus)

Abstract

In this paper we study traffic patterns in a large municipal WiFi network and in particular those of the most bandwidth hungry application, viz. YouTube, for which we provide a detailed analysis of demand in different geographical areas and over time. We consider the possibilities to reduce network traffic and increase Quality of Experience (QoE) by serving repeated requests for YouTube videos from caches placed either at the network head end, at the wireless access points, or in the user devices. Our data confirms that a significant part of the YouTube traffic can be served by such devices and that there exists a potential to optimize caching performance by exploiting the content demand locality. We also discover a previously unknown pattern of periodicity in content demand and present a simple example of how to exploit this in cache design.

Original language	English
Title of host publication	International Wireless Communications and Mobile Computing Conference, IWCMC 2014
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	635-641
ISBN (Electronic)	978-1-4799-0959-9
ISBN (Print)	978-1-4799-7324-8
DOIs	https://doi.org/10.1109/IWCMC.2014.6906430
Publication status	Published - 2014
MoE publication type	A4 Article in a conference publication
Event	10th International Wireless Communications and Mobile Computing Conference, IWCMC 2014 - Nicosia, Cyprus Duration: 4 Aug 2014 → 8 Aug 2014

Conference

Conference	10th International Wireless Communications and Mobile Computing Conference, IWCMC 2014
Abbreviated title	IWCMC 2014
Country/Territory	Cyprus
City	Nicosia
Period	4/08/14 → 8/08/14

Access to Document

10.1109/IWCMC.2014.6906430

Cite this

@inproceedings{94ecc19f80b643d5b4c1e95cc48cd0af,

title = "Study of YouTube demand patterns in mixed public and campus WiFi network",

abstract = "In this paper we study traffic patterns in a large municipal WiFi network and in particular those of the most bandwidth hungry application, viz. YouTube, for which we provide a detailed analysis of demand in different geographical areas and over time. We consider the possibilities to reduce network traffic and increase Quality of Experience (QoE) by serving repeated requests for YouTube videos from caches placed either at the network head end, at the wireless access points, or in the user devices. Our data confirms that a significant part of the YouTube traffic can be served by such devices and that there exists a potential to optimize caching performance by exploiting the content demand locality. We also discover a previously unknown pattern of periodicity in content demand and present a simple example of how to exploit this in cache design.",

author = "Jukka-Pekka Laulajainen and {\AA}ke Arvidsson and Timo Ojala and Janne Sepp{\"a}nen and Manxing Du",

year = "2014",

doi = "10.1109/IWCMC.2014.6906430",

language = "English",

isbn = "978-1-4799-7324-8",

pages = "635--641",

booktitle = "International Wireless Communications and Mobile Computing Conference, IWCMC 2014",

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

address = "United States",

note = "10th International Wireless Communications and Mobile Computing Conference, IWCMC 2014, IWCMC 2014 ; Conference date: 04-08-2014 Through 08-08-2014",

}

Laulajainen, J-P, Arvidsson, Å, Ojala, T, Seppänen, J & Du, M 2014, Study of YouTube demand patterns in mixed public and campus WiFi network. in International Wireless Communications and Mobile Computing Conference, IWCMC 2014. IEEE Institute of Electrical and Electronic Engineers, pp. 635-641, 10th International Wireless Communications and Mobile Computing Conference, IWCMC 2014, Nicosia, Cyprus, 4/08/14. https://doi.org/10.1109/IWCMC.2014.6906430

Study of YouTube demand patterns in mixed public and campus WiFi network. / Laulajainen, Jukka-Pekka; Arvidsson, Åke; Ojala, Timo et al.
International Wireless Communications and Mobile Computing Conference, IWCMC 2014. IEEE Institute of Electrical and Electronic Engineers, 2014. p. 635-641.

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

TY - GEN

T1 - Study of YouTube demand patterns in mixed public and campus WiFi network

AU - Laulajainen, Jukka-Pekka

AU - Arvidsson, Åke

AU - Ojala, Timo

AU - Seppänen, Janne

AU - Du, Manxing

PY - 2014

Y1 - 2014

N2 - In this paper we study traffic patterns in a large municipal WiFi network and in particular those of the most bandwidth hungry application, viz. YouTube, for which we provide a detailed analysis of demand in different geographical areas and over time. We consider the possibilities to reduce network traffic and increase Quality of Experience (QoE) by serving repeated requests for YouTube videos from caches placed either at the network head end, at the wireless access points, or in the user devices. Our data confirms that a significant part of the YouTube traffic can be served by such devices and that there exists a potential to optimize caching performance by exploiting the content demand locality. We also discover a previously unknown pattern of periodicity in content demand and present a simple example of how to exploit this in cache design.

AB - In this paper we study traffic patterns in a large municipal WiFi network and in particular those of the most bandwidth hungry application, viz. YouTube, for which we provide a detailed analysis of demand in different geographical areas and over time. We consider the possibilities to reduce network traffic and increase Quality of Experience (QoE) by serving repeated requests for YouTube videos from caches placed either at the network head end, at the wireless access points, or in the user devices. Our data confirms that a significant part of the YouTube traffic can be served by such devices and that there exists a potential to optimize caching performance by exploiting the content demand locality. We also discover a previously unknown pattern of periodicity in content demand and present a simple example of how to exploit this in cache design.

U2 - 10.1109/IWCMC.2014.6906430

DO - 10.1109/IWCMC.2014.6906430

M3 - Conference article in proceedings

SN - 978-1-4799-7324-8

SP - 635

EP - 641

BT - International Wireless Communications and Mobile Computing Conference, IWCMC 2014

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 10th International Wireless Communications and Mobile Computing Conference, IWCMC 2014

Y2 - 4 August 2014 through 8 August 2014

ER -

Study of YouTube demand patterns in mixed public and campus WiFi network

Abstract

Conference

Access to Document

Fingerprint

Cite this