5th International ICST Conference on Performance Evaluation Methodologies and Tools

Research Article

A Survey on YouTube Streaming Service

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  • @INPROCEEDINGS{10.4108/icst.valuetools.2011.245880,
        author={Majed Haddad and Eitan Altman and Rachid El azouzi and Tania Jim\^{e}nez and Salah Eddine Elayoubi and Sana Benjemaa and Arnaud Legout and Ashwin Rao},
        title={A Survey on YouTube Streaming Service},
        proceedings={5th International ICST Conference on Performance Evaluation Methodologies and Tools},
        publisher={ICST},
        proceedings_a={VALUETOOLS},
        year={2012},
        month={6},
        keywords={YouTube quality of experience buffer management caching},
        doi={10.4108/icst.valuetools.2011.245880}
    }
    
  • Majed Haddad
    Eitan Altman
    Rachid El azouzi
    Tania Jiménez
    Salah Eddine Elayoubi
    Sana Benjemaa
    Arnaud Legout
    Ashwin Rao
    Year: 2012
    A Survey on YouTube Streaming Service
    VALUETOOLS
    ICST
    DOI: 10.4108/icst.valuetools.2011.245880
Majed Haddad1,*, Eitan Altman1, Rachid El azouzi2, Tania Jiménez2, Salah Eddine Elayoubi3, Sana Benjemaa3, Arnaud Legout1, Ashwin Rao1
  • 1: INRIA Sophia-Antipolis
  • 2: LIA
  • 3: Orange Labs
*Contact email: haddadmajed@yahoo.fr

Abstract

Established in 2005, YouTube is one of the fastest-growing websites, and has become one of the most accessed sites in the Internet. It has a significant impact on the Internet traffic distribution, but itself is suffering from severe scalability constraints and quality of service. Understanding the features of YouTube is thus crucial to network traffic engineering and to sustainable development of this new generation of services. In this survey, we first present an overview of previous works and analysis on YouTube with a particular attention on Quality of Experience. We then describe how the increased availability of meta-data in Web 2.0 (e.g., popularity distribution of video clips) could be effectively exploited to improve the performance and scalability of YouTube. In particular, we study the benefit gained by local caching along with prefetching in terms of reducing the client access time and start up delay in watching video.