TY - GEN
T1 - Unreeling netflix
T2 - IEEE Conference on Computer Communications, INFOCOM 2012
AU - Adhikari, Vijay Kumar
AU - Guo, Yang
AU - Hao, Fang
AU - Varvello, Matteo
AU - Hilt, Volker
AU - Steiner, Moritz
AU - Zhang, Zhi Li
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84861612135&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84861612135&partnerID=8YFLogxK
U2 - 10.1109/INFCOM.2012.6195531
DO - 10.1109/INFCOM.2012.6195531
M3 - Conference contribution
AN - SCOPUS:84861612135
SN - 9781467307758
T3 - Proceedings - IEEE INFOCOM
SP - 1620
EP - 1628
BT - 2012 Proceedings IEEE INFOCOM, INFOCOM 2012
Y2 - 25 March 2012 through 30 March 2012
ER -