Treffer: Understanding user behavior in large-scale video-on-demand systems

Title:
Understanding user behavior in large-scale video-on-demand systems
Authors:
HONGLIANG YU, DONGDONG ZHENG, ZHAO, Ben Y, WEIMIN ZHENG
Source:
Proceedings of EuroSys2006, Leuven, Belgium, April 18-21, 2006Operating systems review. 40(4):333-344
Publisher Information:
New York, NY: Association for Computing Machinery, 2006.
Publication Year:
2006
Physical Description:
print, 24 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Systèmes informatiques et systèmes répartis. Interface utilisateur, Computer systems and distributed systems. User interface, Génie logiciel, Software engineering, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Analyse image, Image analysis, Análisis imagen, Approche probabiliste, Probabilistic approach, Enfoque probabilista, Comportement utilisateur, User behavior, Comportamiento usuario, Corrélation, Correlation, Correlación, Internet, Loi Poisson, Poisson distribution, Ley Poisson, Modélisation, Modeling, Modelización, Multimédia, Multimedia, Processus Poisson, Poisson process, Proceso Poisson, Processus arrivée, Arrival process, Proceso llegada, Protocole internet, Internet protocol, Protocolo internet, Signal vidéo, Video signal, Señal video, Traitement image, Image processing, Procesamiento imagen, Vidéo à la demande, Video on demand, Video a la carta, Accès contenu, Content access, Acceso contenido, Transmission en continu, Streaming, Transmisión continua
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Computer Science Department, Tsinghua University, Beijing, China
Computer Science Department, U. C, Santa Barbara, CA, United States
ISSN:
0163-5980
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18464426
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.18464426
Database:
PASCAL Archive

Weitere Informationen

Video-on-demand over IP (VOD) is one of the best-known examples of next-generation Internet applications cited as a goal by networking and multimedia researchers. Without empirical data, researchers have generally relied on simulated models to drive their design and developmental efforts. In this paper, we present one of the first measurement studies of a large VOD system, using data covering 219 days and more than 150,000 users in a VOD system deployed by China Telecom. Our study focuses on user behavior, content access patterns, and their implications on the design of multimedia streaming systems. Our results also show that when used to model the user-arrival rate, the traditional Poisson model is conservative and overestimates the probability of large arrival groups. We introduce a modified Poisson distribution that more accurately models our observations. We also observe a surprising result, that video session lengths has a weak inverse correlation with the video's popularity. Finally, we gain better understanding of the sources of video popularity through analysis of a number of internal and external factors.