(Created page with " == 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...") |
m (Scipediacontent moved page Draft Content 774269092 to Meo et al 2010a) |
(No difference)
| |
Latest revision as of 10:26, 8 February 2021
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.
Original document
The different versions of the original document can be found in:
Document information
Published on 31/12/09
Accepted on 31/12/09
Submitted on 31/12/09
Volume 2010, 2010
DOI: 10.1109/glocom.2010.5683368
Licence: CC BY-NC-SA license
Share this document
claim authorship
Are you one of the authors of this document?