Describing and forecasting video access patterns

@article{Grsun2011DescribingAF,
  title={Describing and forecasting video access patterns},
  author={Gonca G{\"u}rsun and Mark Crovella and Ibrahim Matta},
  journal={2011 Proceedings IEEE INFOCOM},
  year={2011},
  pages={16-20}
}
Computer systems are increasingly driven by workloads that reflect large-scale social behavior, such as rapid changes in the popularity of media items like videos. Capacity planners and system designers must plan for rapid, massive changes in workloads when such social behavior is a factor. In this paper we make two contributions intended to assist in the design and provisioning of such systems.We analyze an extensive dataset consisting of the daily access counts of hundreds of thousands of… CONTINUE READING
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Describing and forecasting video access patterns

G. Gürsun, M. Crovella, I. Matta
Technical Report BUS-TR-2010-037, • 2010
View 1 Excerpt

Robust dynamic classes revealed by measuring the response function of a social system.

Proceedings of the National Academy of Sciences of the United States of America • 2008

Time Series: Theory and Methods

P. J. Brockwell, R. A. Davis
Springer Series in Statistics. Springer-Verlag, second edition, • 1991

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