Strategic selection and replication of movies by trend calibrated movie demand model

Pao Yue-kong Library Electronic Theses Database

Strategic selection and replication of movies by trend calibrated movie demand model

 

Author: Wong, Koon-hung Dave
Title: Strategic selection and replication of movies by trend calibrated movie demand model
Degree: M.Sc.
Year: 2000
Subject: Video dial tone
Multimedia systems
Hong Kong Polytechnic University -- Dissertations
Department: Multi-disciplinary Studies
Dept. of Electronic and Information Engineering
Pages: 79 leaves : ill. ; 30 cm
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b1524950
URI: http://theses.lib.polyu.edu.hk/handle/200/1351
Abstract: Large Movie-On-Demand (MOD) and Video-On-Demand (VOD) systems need to offer a set of popular movies on-line. Given the changing movie popularity and daily load fluctuations, however, it is still not a trivial task to maintain an optimal set of movies from a diverse archive. 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 dissertation study, I evaluate 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-SMID) model is an improved version of SMD with bounded movie lifespan. In this dissertation study, I propose a new model called the Trend-Calibrated Movie-Demand (TCMD) model. Through simulation studies I have found that movie selection and replication based on TCMD can significantly improve the percentage of customer requests satisfied.

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