Title :
Using Hidden Markov Chains for Modeling P2P-TV Traffic
Author :
Garcia, Maria Antonieta ; Da Silva, Ana Paula Couto ; Meo, Michela
Author_Institution :
Politec. di Torino, Torino, Italy
Abstract :
The increasing success of P2P-TV applications, that may overwhelm the network with their large volume of traffic in the near future, calls for the need of new traffic models that can effectively represent the traffic generated by these applications. In this paper, we study the traffic generated by PPLive and SopCast, that are among the most popular P2P-TV applications of today, and propose Hidden-Markov chains for modeling the traffic they generate. Our results show that the models are quite accurate and can be effectively used in many networking tasks such as network performance analysis, network planning and dimensioning, traffic engineering.
Keywords :
Markov processes; peer-to-peer computing; telecommunication computing; telecommunication traffic; television broadcasting; P2P-TV applications; P2P-TV traffic modeling; PPLive; SopCast; hidden Markov chains; network planning; traffic engineering; Bandwidth; Correlation; Generators; Hidden Markov models; Peer to peer computing; Streaming media; Training;
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4244-5636-9
Electronic_ISBN :
1930-529X
DOI :
10.1109/GLOCOM.2010.5683368
