Paper Info
Title
Strategic Selection and Replication of Movies by Trend-Calibrated Movie-Demand Model
Abstract
To cope with the fluctuation in movie popularity, Video-On-Demand systems need to maintain a optimal set of movies. Replication of the most popular movies across multiple storage devices is also needed to increase the bandwidth of these movies in meeting their high demand However, selection and replication of movies can only be varied within the constraints imposed by the on-line storage space and organization. In this paper, weevaluate three movie-demand models based on which strategic decisions on selection and replication can be exercised. The long-term Static Movie-Demand(SMD) model is a quantized version of a trivial approach. The bounded-SMD(B-SMD) model is an improved version ofSMD with bounded movie life span. We propose a new model called the Trend-Calibrated Movie-Demand (TCMD) model. Through simulation studies we have found that TCMD can significantly improve the percentage of customer requests satisfied.
Year
DOI
Venue
2000
10.1109/MMSE.2000.897198
ISMSE
Keywords
Field
DocType
strategic selection,improved version ofsmd,long-term static movie-demand,trend-calibrated movie-demand,movie popularity,popular movie,trend-calibrated movie-demand model,bounded movie life span,new model,on-line storage space,movie-demand model,multiple storage device,robots,calibration,fluctuations,bandwidth,satisfiability,broadcasting,simulation,motion pictures,maintenance engineering
Computer science,Popularity,Bandwidth (signal processing),Multimedia,Bounded function
Conference
ISBN
Citations 
PageRank 
0-7695-0933-9
1
0.40
References 
Authors
6
3
Name
Order
Citations
PageRank
Tsun-ping J. To1193.59
Koon-Hung Wong210.40
Chi-Kwong Li331329.81