%0 Conference Proceedings
%T Network Traffic Analysis and QoE Evaluation for Video Progressive Download Service: Netflix
%+ Universidad de Málaga [Málaga] = University of Málaga [Málaga]
%+ AT4 wireless
%A Lozano, Francisco
%A Aguayo-Torres, Mari-Carmen
%A Gómez, Gerardo
%A Cárdenas, Carlos
%A Baños, Juana
%Z Part 4: Next Generation Services
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 13th International Conference on Wired/Wireless Internet Communication (WWIC)
%C Malaga, Spain
%Y Mari Carmen Aguayo-Torres
%Y Gerardo Gómez
%Y Javier Poncela
%I Springer International Publishing
%3 Wired/Wireless Internet Communications
%V LNCS-9071
%P 239-246
%8 2015-05-25
%D 2015
%R 10.1007/978-3-319-22572-2_17
%K Traffic pattern
%K Quality of experience
%K Mean opinion score
%K NetflixTM
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X Over the Top video streaming services has grown very rapidly in recent years, with the emerge of diverse online video stores. One of the popular over the top services is Netflix. The significant increase of user data consumption by this type of services affects the performance of communications networks, and operators need methods to estimate how well the network behaves. In this paper a network traffic analysis of Netflix is presented. The traffic study has been performed with diverse devices and access technologies. A model for quality of experience (QoE) evaluation, based on application performance metrics, has been applied to estimate Mean Opinion Score (MOS) by end users.
%G English
%Z TC 6
%2 https://inria.hal.science/hal-01728819/document
%2 https://inria.hal.science/hal-01728819/file/346846_1_En_17_Chapter.pdf
%L hal-01728819
%U https://inria.hal.science/hal-01728819
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC6
%~ IFIP-WWIC
%~ IFIP-LNCS-9071