skip to main content
10.1145/2834965.2834974acmconferencesArticle/Chapter ViewAbstractPublication PagesmiddlewareConference Proceedingsconference-collections
short-paper

Decentralized view prediction for global content placement

Published: 07 December 2015 Publication History

Abstract

A large portion of today's Internet traffic originates from streaming and video services. Storing, indexing, and serving these videos is a daily engineering challenge that requires increasing amounts of efforts and infrastructures. One promising direction to improve video services consists in predicting at upload time where and when a new video might be viewed, thereby optimizing placement and caching decisions. Implementing such a prediction service in a scalable manner poses significant technical challenges. In this paper, we address these challenges in the context of a decentralized storage system consisting of set-top boxes or end nodes. Specifically, we propose a novel data placement algorithm that exploits information about the tags associated with existing content, such as videos, and uses it to infer the number of views that newly uploaded content will have in each country.

References

[1]
S. Androutsellis-Theotokis and D. Spinellis. A survey of peer-to-peer content distribution technologies. ACM Comput. Surv., 36(4):335--371, Dec. 2004.
[2]
M. Bertier, D. Frey, R. Guerraoui, A.-M. Kermarrec, and V. Leroy. The gossple anonymous social network. In Middleware, 2010.
[3]
A. Boutet, D. Frey, R. Guerraoui, A. Jégou, and A.-M. Kermarrec. WhatsUp Decentralized Instant News Recommender. In IPDPS, 2013.
[4]
S. Delbruel, D. Frey, and F. Taïani. Exploring the Geography of Tags in Youtube Views. Research Report RT-0461, IRISA, Inria Rennes, Apr. 2015.
[5]
Google. Google peering and content delivery. https://peering.google.com/about/ggc.html. (accessed 2/5/2015).
[6]
K. Huguenin, A.-M. Kermarrec, K. Kloudas, and F. Taïani. Content and geographical locality in user-generated content sharing systems. In NOSSDAV, 2012.
[7]
M. Jelasity, S. Voulgaris, R. Guerraoui, A.-M. Kermarrec, and M. van Steen. Gossip-based peer sampling. ACM TOCS, 25, 2007.
[8]
G. Kreitz and F. Niemelä. Spotify -- large scale, low latency, P2P music-on-demand streaming. In P2P, 2010.
[9]
J. Kubiatowicz, D. Bindel, Y. Chen, S. Czerwinski, P. Eaton, D. Geels, R. Gummadi, S. Rhea, H. Weatherspoon, W. Weimer, et al. Oceanstore: An architecture for global-scale persistent storage. ACM Sigplan Notices, 35(11):190--201, 2000.
[10]
J. M. Pujol, V. Erramilli, G. Siganos, X. Yang, N. Laoutaris, P. Chhabra, and P. Rodriguez. The little engine(s) that could: scaling online social networks. In SIGCOMM, 2010.
[11]
L. Youtube. Statistics, viewership. http://www.youtube.com/yt/press/statistics.html. (accessed 2/5/2015).
[12]
M. Zhao, P. Aditya, A. Chen, Y. Lin, A. Haeberlen, P. Druschel, B. Maggs, B. Wishon, and M. Ponec. Peer-assisted content distribution in Akamai NetSession. In IMC. ACM, 2013.

Index Terms

  1. Decentralized view prediction for global content placement

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    ARM 2015: Proceedings of the 14th International Workshop on Adaptive and Reflective Middleware
    December 2015
    55 pages
    ISBN:9781450337335
    DOI:10.1145/2834965
    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 the author(s) 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].

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 07 December 2015

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. User-generated content
    2. YouTube
    3. prediction
    4. tag

    Qualifiers

    • Short-paper
    • Research
    • Refereed limited

    Conference

    Middleware '15
    Sponsor:
    • ACM
    • USENIX Assoc
    • IFIP
    Middleware '15: 16th International Middleware Conference
    December 7 - 11, 2015
    BC, Vancouver, Canada

    Acceptance Rates

    ARM 2015 Paper Acceptance Rate 7 of 11 submissions, 64%;
    Overall Acceptance Rate 15 of 21 submissions, 71%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 76
      Total Downloads
    • Downloads (Last 12 months)2
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 22 Dec 2024

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media