Multicast Video-on-Demand services
ACM SIGCOMM Computer Communication Review
Video-on-Demand Equipment Allocation
NCA '06 Proceedings of the Fifth IEEE International Symposium on Network Computing and Applications
Understanding user behavior in large-scale video-on-demand systems
Proceedings of the 1st ACM SIGOPS/EuroSys European Conference on Computer Systems 2006
Does internet media traffic really follow Zipf-like distribution?
Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
One-way Delay Measurement and Characterization
ICNS '07 Proceedings of the Third International Conference on Networking and Services
Video-on-demand server selection and placement
ITC20'07 Proceedings of the 20th international teletraffic conference on Managing traffic performance in converged networks
Dimensioning of IPTV VoD service in heterogeneous broadband access networks
APNOMS'09 Proceedings of the 12th Asia-Pacific network operations and management conference on Management enabling the future internet for changing business and new computing services
IPTV transport architecture alternatives and economic considerations
IEEE Communications Magazine
Measurement of download and play and streaming IPTV traffic
IEEE Communications Magazine
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The Internet Protocol Television (IPTV) subscription rate has increased steadily since the introduction of IPTV Video on Demand (VoD) services. We have developed a model to determine the optimum deployment strategy for delivering IPTV VoD network services from the IPTV service providers' perspective. The analysis technique in this paper helps us determine how to support a particular IPTV VoD deployment having a given number of customers that each must receive a contracted Quality of Experience (QoE). The main QoE measures considered are server waiting time, one-way minimum delay and access network bandwidth consumption. All these models are made considering heterogeneous network conditions. The QoE models will help service providers make network deployment decisions including the number of servers, distance of servers from a community and desirable access network bandwidth capacity. Copyright © 2011 John Wiley & Sons, Ltd.