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Cloud download: using cloud utilities to achieve high-quality content distribution for unpopular videos

Published: 28 November 2011 Publication History

Abstract

Video content distribution dominates the Internet traffic. The state-of-the-art techniques generally work well in distributing popular videos, but do not provide satisfactory content distribution service for unpopular videos due to low data health or low data transfer rate. In recent years, the worldwide deployment of cloud utilities provides us with a novel perspective to consider the above problem. We propose and implement the cloud download scheme, which achieves high-quality video content distribution by using cloud utilities to guarantee the data health and enhance the data transfer rate. Specifically, a user sends his video request to the cloud which subsequently downloads the video from the Internet and stores it in the cloud cache. Then the user can usually retrieve his requested video (whether popular or unpopular) from the cloud with high data rate in any place at any time, via the intra-cloud data transfer acceleration. Running logs of our real deployed commercial system (named VideoCloud) confirm the effectiveness and efficiency of cloud download. The users' average data transfer rate of unpopular videos exceeds 1.6 Mbps, and over 80% of the data transfer rates are more than 300 Kbps which is the basic playback rate of online videos. Our study provides practical experiences and valuable heuristics for making use of cloud utilities to achieve efficient Internet services.

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  • (2024)Supporting efficient video file streaming in P2P cloud storagePeer-to-Peer Networking and Applications10.1007/s12083-024-01691-117:4(1865-1884)Online publication date: 4-Apr-2024
  • (2023)Edge-Assisted Short Video Sharing With Guaranteed Quality-of-ExperienceIEEE Transactions on Cloud Computing10.1109/TCC.2021.306783411:1(13-24)Online publication date: 1-Jan-2023
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    cover image ACM Conferences
    MM '11: Proceedings of the 19th ACM international conference on Multimedia
    November 2011
    944 pages
    ISBN:9781450306164
    DOI:10.1145/2072298
    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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    Publication History

    Published: 28 November 2011

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    Author Tags

    1. cloud download
    2. content distribution
    3. data health
    4. data transfer rate.
    5. unpopular videos

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    MM '11
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    MM '11: ACM Multimedia Conference
    November 28 - December 1, 2011
    Arizona, Scottsdale, USA

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    Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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    Cited By

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    • (2024)Supporting efficient video file streaming in P2P cloud storagePeer-to-Peer Networking and Applications10.1007/s12083-024-01691-117:4(1865-1884)Online publication date: 4-Apr-2024
    • (2023)Edge-Assisted Short Video Sharing With Guaranteed Quality-of-ExperienceIEEE Transactions on Cloud Computing10.1109/TCC.2021.306783411:1(13-24)Online publication date: 1-Jan-2023
    • (2021)Cooperatively Constructing Cost-Effective Content Distribution Networks upon Emerging Low Earth Orbit Satellites and Clouds2021 IEEE 29th International Conference on Network Protocols (ICNP)10.1109/ICNP52444.2021.9651950(1-12)Online publication date: 1-Nov-2021
    • (2019)TailCutterIEEE/ACM Transactions on Networking10.1109/TNET.2019.292614227:4(1612-1628)Online publication date: 1-Aug-2019
    • (2018)Performance Analysis of Thunder Crystal: A Crowdsourcing-Based Video Distribution PlatformIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2016.263325528:4(997-1008)Online publication date: Apr-2018
    • (2016)An Empirical Analysis of a Large-scale Mobile Cloud Storage ServiceProceedings of the 2016 Internet Measurement Conference10.1145/2987443.2987465(287-301)Online publication date: 14-Nov-2016
    • (2016)Design and Evaluation of the Optimal Cache Allocation for Content-Centric NetworkingIEEE Transactions on Computers10.1109/TC.2015.240984865:1(95-107)Online publication date: 1-Jan-2016
    • (2016)On the performance of cloud storage applications with global measurement2016 IEEE/ACM 24th International Symposium on Quality of Service (IWQoS)10.1109/IWQoS.2016.7590449(1-10)Online publication date: Jun-2016
    • (2016)TailCutter: Wisely cutting tail latency in cloud CDN under cost constraintsIEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications10.1109/INFOCOM.2016.7524535(1-9)Online publication date: Apr-2016
    • (2016)Toward Network-Level Efficiency for Cloud Storage ServicesContent Distribution for Mobile Internet: A Cloud-based Approach10.1007/978-981-10-1463-5_8(167-196)Online publication date: 22-Jun-2016
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