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Understanding Internet Video sharing site workload: A view from data center design
2010
Journal of Visual Communication and Image Representation
In this paper we measured and analyzed the workload on Yahoo! Video, the 2nd largest U.S. video sharing site, to understand its nature and the impact on online video data center design. We discovered interesting statistical properties on both static and temporal dimensions of the workload including file duration and popularity distributions, arrival rate dynamics and predictability, and workload stationarity and burstiness. Complemented with queueing-theoretic techniques, we further extended
doi:10.1016/j.jvcir.2009.06.007
fatcat:cmuqob47efbfldvooch3eelndm