Paper Info
Title
Modeling user activities in a large IPTV system
Abstract
Internet Protocol Television (IPTV) has emerged as a new delivery method for TV. In contrast with native broadcast in traditional cable and satellite TV system, video streams in IPTV are encoded in IP packets and distributed using IP unicast and multicast. This new architecture has been strategically embraced by ISPs across the globe, recognizing the opportunity for new services and its potential toward a more interactive style of TV watching experience in the future. Since user activities such as channel switches in IPTV impose workload beyond local TV or set-top box (different from broadcast TV systems), it becomes essential to characterize and model the aggregate user activities in an IPTV network to support various system design and performance evaluation functions such as network capacity planning. In this work, we perform an in-depth study on several intrinsic characteristics of IPTV user activities by analyzing the real data collected from an operational nation-wide IPTV system. We further generalize the findings and develop a series of models for capturing both the probability distribution and time-dynamics of user activities. We then combine theses models to design an IPTV user activity workload generation tool called SIMUL WATCH, which takes a small number of input parameters and generates synthetic workload traces that mimic a set of real users watching IPTV. We validate all the models and the prototype of SIMUL WATCH using the real traces. In particular, we show that SIMUL WATCH can estimate the unicast and multicast traffic accurately, proving itself as a useful tool in driving the performance study in IPTV systems.
Year
DOI
Venue
2009
10.1145/1644893.1644945
Internet Measurement Conference
Keywords
Field
DocType
large iptv system,real user,operational nation-wide iptv system,aggregate user activity,iptv user activity workload,iptv system,user activity,local tv,iptv network,broadcast tv system,iptv user activity,modeling,data collection,internet protocol,probability distribution,system design
Internet Protocol,Broadcasting,Computer science,Network packet,Computer network,Systems design,Capacity planning,IPTV,Multicast,Unicast
Conference
Citations 
PageRank 
References 
54
2.82
12
Authors
6
Name
Order
Citations
PageRank
Tongqing Qiu121412.45
Zihui Ge284755.97
Seungjoon Lee3132892.31
Jia Wang43322301.29
Jun Xu530016.61
Qi Zhao631817.78