Paper Info
Title
Estimating Video Popularity From Past Request Arrival Times In A Vod System
Abstract
Efficient provision of Video-on-Demand (VoD) services requires that popular videos are stored in a cache close to users. Video popularity (defined by requested count) prediction is, therefore, important for optimal choice of videos to be cached. The popularity of a video depends on many factors and, as a result, changes dynamically with time. Accurate video popularity estimation that can promptly respond to the variations in video popularity then becomes crucial. In this paper, we analyze a method, called Minimal Inverted Pyramid Distance (MIPD), to estimate a video popularity measure called the Inverted Pyramid Distance (IPD). MIPD requires choice of a parameter, k, representing the number of past requests from each video used to calculate its IPD. We derive, analytically, expressions to determine an optimal value for k, given the requirement on ranking a certain number of videos with specified confidence. In order to assess the prediction efficiency of MIPD, we have compared it by simulations against four other prediction methods: Least Recency Used (LRU), Least Frequency Used (LFU), Least Recently/Frequently Used (LRFU), and Exponential Weighted Moving Average (EWMA). Lacking real data, we have, based on an extensive literature review of real-life VoD system, designed a model of VoD system to provide a realistic simulation of videos with different patterns of popularity variation, using the Zipf (heavy-tailed) distribution of popularity and a non-homogeneous Poisson process for requests. From a large number of simulations, we conclude that the performance of MIPD is, in general, superior to all of the other four methods.
Year
DOI
Venue
2020
10.1109/ACCESS.2020.2966495
IEEE ACCESS
Keywords
DocType
Volume
Popularity prediction, video-on-demand, pre-placement, request statistic, Zipf distribution, non-homogeneous Poisson process
Journal
8
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
8
Name
Order
Citations
PageRank
Tianjiao Wang100.34
Chamil Jayasundara2143.75
Moshe Zukerman31660175.61
Ampalavanapillai Nirmalathas44916.48
Elaine Wong5163.86
Chathurika Ranaweera6266.43
Chang Xing711.06
B. Moran811121.09