What should you cache? A global analysis on YouTube related video caching

Proceedings of the International Workshop on Network and Operating System Support for Digital Audio and Video

Volumn , Issue , 2013, Pages 31-36

  Krishnappa, Dilip Kumar ^a   Zink, Michael ^a   Griwodz, Carsten ^b  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

^b UNIVERSITY OF OSLO   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

GLOBAL ANALYSIS; NETWORK BANDWIDTH; PLANETLAB; PREFETCHING; USER NODES; VIDEO CACHING; YOUTUBE;

WEBSITES;

COMPUTER GRAPHICS;

EID: 84876470140     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2460782.2460788     Document Type: Conference Paper

References (6)

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3. D. K. Krishnappa, M. Zink, C. Gridwoz, and P. Halvorsen. Cache-centric Video Recommendation: An Approach to Improve the Efficiency of YouTube Caches. In MMSys, February 2013.
4. R. Zhou, S. Khemmarat, and L. Gao. The Impact of YouTube Recommendation System on Video Views. In IMC, November 2010.
5. R. Zhou, S. Khemmarat, L. Gao, and H. Wang. Boosting Video Popularity through Recommendation Systems. In DBSocial, June 2011.
6. M. Zink, K. Suh, Yu, and J. Kurose. Characteristics of YouTube Network Traffic at a Campus Network - Measurements, Models, and Implications. Elsevier Computer Networks, 2009.