poster

How do you 'Tube'

Authors:

Vijay Kumar Adhikari,

Sourabh Jain,

Yingying Chen,

Zhi-Li ZhangAuthors Info & Claims

SIGMETRICS '11: Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems

Pages 137 - 138

https://doi.org/10.1145/1993744.1993794

Published: 07 June 2011 Publication History

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Abstract

In this paper we "reverse-engineer" the YouTube video delivery cloud by building a distributed measurement infrastructure. Through extensive data collection and analysis, we deduce the key design features underlying the YouTube video delivery cloud. The design of the YouTube video delivery cloud consists of three major components: a "flat" video id space, multiple DNS namespaces reflecting a multi-layered logical organization of video servers, and a 3-tier physical cache hierarchy. By mapping the video id space to the logical servers via consistent hashing and cleverly leveraging DNS and HTTP re-direction mechanisms, such a design leads to a scalable, robust and flexible content distribution system.

References

[1]

How Do You "Tube"? Reverse Engineering the YouTube Video Delivery Cloud (Technical report). http://www-users.cs.umn.edu/~viadhi/resources/youtube-tech-report.pdf.

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[2]

V. K. Adhikari, S. Jain, and Z. Zhang. YouTube Traffic Dynamics and Its Interplay with a Tier-1 ISP: An ISP Perspective. In IMC '10. ACM, 2010.

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[3]

M. Cha, H. Kwak, P. Rodriguez, Y.-Y. Ahn, and S. Moon. I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system. In IMC '07. ACM, 2007.

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[4]

P. Gill, M. Arlitt, Z. Li, and A. Mahanti. Youtube traffic characterization: a view from the edge. In IMC '07. ACM, 2007.

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Cited By

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Pande AAhuja VSivaraj RBaik EMohapatra P(2013)Video Delivery Challenges and Opportunities in 4G NetworksIEEE MultiMedia10.1109/MMUL.2013.4420:3(88-94)Online publication date: 1-Jul-2013
https://dl.acm.org/doi/10.1109/MMUL.2013.44
Broadbent MRace NCosta PHu WSekar V(2012)OpenCacheProceedings of the 2012 ACM conference on CoNEXT student workshop10.1145/2413247.2413258(15-16)Online publication date: 10-Dec-2012
https://dl.acm.org/doi/10.1145/2413247.2413258
Bernard CDebar HBenayoune S(2012)Cross-domain vulnerabilities over social networks2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN)10.1109/CASoN.2012.6412370(8-13)Online publication date: Nov-2012
https://doi.org/10.1109/CASoN.2012.6412370

Index Terms

How do you 'Tube'
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles

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Published In

SIGMETRICS '11: Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems

June 2011

376 pages

ISBN:9781450308144

DOI:10.1145/1993744

General Chair:
Arif Merchant
Google, USA
,
Program Chairs:
Kimberly Keeton
HP Labs, USA
,
Dan Rubenstein
Columbia University, USA

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Association for Computing Machinery

New York, NY, United States

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Published: 07 June 2011

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SIGMETRICS '11: ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems

June 7 - 11, 2011

California, San Jose, USA

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Pande AAhuja VSivaraj RBaik EMohapatra P(2013)Video Delivery Challenges and Opportunities in 4G NetworksIEEE MultiMedia10.1109/MMUL.2013.4420:3(88-94)Online publication date: 1-Jul-2013
https://dl.acm.org/doi/10.1109/MMUL.2013.44
Broadbent MRace NCosta PHu WSekar V(2012)OpenCacheProceedings of the 2012 ACM conference on CoNEXT student workshop10.1145/2413247.2413258(15-16)Online publication date: 10-Dec-2012
https://dl.acm.org/doi/10.1145/2413247.2413258
Bernard CDebar HBenayoune S(2012)Cross-domain vulnerabilities over social networks2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN)10.1109/CASoN.2012.6412370(8-13)Online publication date: Nov-2012
https://doi.org/10.1109/CASoN.2012.6412370

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I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system

How do you 'Tube'

Exploring the user-generated content (UGC) uploading behavior on youtube

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