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Over the top video: the gorilla in cellular networks

Published: 02 November 2011 Publication History

Abstract

Cellular networks have witnessed tremendous traffic growth recently, fueled by smartphones, tablets and new high speed broadband cellular access technologies. A key application driving that growth is video streaming. Yet very little is known about the characteristics of this traffic class. In this paper, we examine video traffic generated by three million users across one of the world's largest 3G cellular networks. This first deep dive into cellular video streaming shows that HLS, an adaptive bitrate streaming protocol, accounts for one third of the streaming video traffic and that it is common to see changes in encoding bitrates within a session. We also observe that most of the content is streamed at less than 255 Kbps and that only 40% of the videos are fully downloaded. Another key finding is that there exists significant potential for caching to deliver this content.

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    cover image ACM Conferences
    IMC '11: Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
    November 2011
    612 pages
    ISBN:9781450310130
    DOI:10.1145/2068816
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 02 November 2011

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    1. network optimization

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    IMC '11
    IMC '11: Internet Measurement Conference
    November 2 - 4, 2011
    Berlin, Germany

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    Overall Acceptance Rate 277 of 1,083 submissions, 26%

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    ACM Internet Measurement Conference
    November 4 - 6, 2024
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    View all
    • (2024)The Rise of OTTThe Rise of Over-the-Top (OTT) Media and Implications for Media Consumption and Production10.4018/979-8-3693-0116-6.ch012(195-213)Online publication date: 26-Jan-2024
    • (2024)Characterizing 5G Adoption and its Impact on Network Traffic and Mobile Service ConsumptionIEEE INFOCOM 2024 - IEEE Conference on Computer Communications10.1109/INFOCOM52122.2024.10621344(1531-1540)Online publication date: 20-May-2024
    • (2023)Resource Scheduling in Edge Computing: Architecture, Taxonomy, Open Issues and Future Research DirectionsIEEE Access10.1109/ACCESS.2023.325652211(25329-25350)Online publication date: 2023
    • (2021)Resource Scheduling in Edge Computing: A SurveyIEEE Communications Surveys & Tutorials10.1109/COMST.2021.310640123:4(2131-2165)Online publication date: Dec-2022
    • (2021)Are global over-the-top platforms the destroyers of ecosystems or the catalysts of innovation?Telematics and Informatics10.1016/j.tele.2021.10158160(101581)Online publication date: Jul-2021
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    • (2020)Congestion Control in the Wild—Investigating Content Provider FairnessIEEE Transactions on Network and Service Management10.1109/TNSM.2019.296260717:2(1224-1238)Online publication date: Jun-2020
    • (2020)Squeezing the Gap: An Empirical Study on DHCP Performance in a Large-Scale Wireless NetworkIEEE/ACM Transactions on Networking10.1109/TNET.2020.297155128:2(832-845)Online publication date: Apr-2020
    • (2020)Five Years at the Edge: Watching Internet From the ISP NetworkIEEE/ACM Transactions on Networking10.1109/TNET.2020.296758828:2(561-574)Online publication date: Apr-2020
    • (2020)Identifying Common Periodicities in Mobile Service Demands with Spectral Analysis2020 Mediterranean Communication and Computer Networking Conference (MedComNet)10.1109/MedComNet49392.2020.9191477(1-8)Online publication date: Jun-2020
    • Show More Cited By

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