DocumentCode :
2014706
Title :
Unreeling netflix: Understanding and improving multi-CDN movie delivery
Author :
Adhikari, Vijay Kumar ; Guo, Yang ; Hao, Fang ; Varvello, Matteo ; Hilt, Volker ; Steiner, Moritz ; Zhang, Zhi-Li
Author_Institution :
Univ. of Minnesota, Minneapolis, MN, USA
fYear :
2012
fDate :
25-30 March 2012
Firstpage :
1620
Lastpage :
1628
Abstract :
Netflix is the leading provider of on-demand Internet video streaming in the US and Canada, accounting for 29.7% of the peak downstream traffic in US. Understanding the Netflix architecture and its performance can shed light on how to best optimize its design as well as on the design of similar on-demand streaming services. In this paper, we perform a measurement study of Netflix to uncover its architecture and service strategy. We find that Netflix employs a blend of data centers and Content Delivery Networks (CDNs) for content distribution. We also perform active measurements of the three CDNs employed by Netflix to quantify the video delivery bandwidth available to users across the US. Finally, as improvements to Netflix´s current CDN assignment strategy, we propose a measurement-based adaptive CDN selection strategy and a multiple-CDN-based video delivery strategy, and demonstrate their potentials in significantly increasing user´s average bandwidth.
Keywords :
Internet; bandwidth allocation; computer centres; video on demand; video streaming; CDN assignment strategy; Canada; Netflix architecture; US; content delivery networks; content distribution; data centers; measurement-based adaptive CDN selection strategy; multiCDN movie delivery bandwidth; on-demand Internet video streaming; on-demand streaming services; peak downstream traffic; service strategy; user average bandwidth; video delivery bandwidth; video delivery strategy; Bandwidth; Bit rate; Browsers; Computers; Motion pictures; Servers; Streaming media;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM, 2012 Proceedings IEEE
Conference_Location :
Orlando, FL
ISSN :
0743-166X
Print_ISBN :
978-1-4673-0773-4
Type :
conf
DOI :
10.1109/INFCOM.2012.6195531
Filename :
6195531
Link To Document :
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