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Characterization and modeling of video popularity
Author(s) -
Li J.,
Ma S.
Publication year - 2014
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.2493
Subject(s) - popularity , computer science , zipf's law , workload , key (lock) , rank (graph theory) , characterization (materials science) , relation (database) , data mining , statistics , computer security , mathematics , psychology , social psychology , materials science , combinatorics , nanotechnology , operating system
SUMMARY Popularity of videos is a key factor for the design and management of a streaming media system. In this paper, three factors representing clients’ access to a media system are investigated to characterize popularity. One of the factors is the commonly used access frequency. Numerical studies on one of the workloads from a video‐on‐demand system in the University of Science and Technology of China are also given. The results show that the commonly used Zipf‐like model is not suitable to characterize popularity distribution. However, the stretched exponential model is better, and the shape of the stretched exponential distribution of popularity is related to the characterization of popularity and the duration of workload. The rank correlation between the access frequency and the other two factors is further studied. It is concluded that the rank of video popularity and the ability of each characterization to distinguish video popularity are different, which implies that the combinative use of different characterizations can increase the distinction of video popularity.Copyright © 2013 John Wiley & Sons, Ltd.