Database Reference
In-Depth Information
Boosting Streaming Video Delivery
with WiseReplica
B
Guthemberg Silvestre 1(
) ,DavidBuffoni 2 , Karine Pires 2 ,
Sebastien Monnet 2 , and Pierre Sens 2
1 CNRS, LAAS, 7 Avenue du Colonel Roche, 31400 Toulouse, France
gdasilva@laas.fr
2 UPMC Sorbonne Universites, LIP6, CNRS, INRIA, 4 Place Jussieu, Paris, France
{ david.buffoni,karine.pires,sebastien.monnet,pierre.sens } @lip6.fr
Abstract. Streaming video consumption has risen sharply over the last
years. It has not only reshaped the Internet trac, it has also changed
the manner of watching videos. Users are progressively moving from
the old-fashioned scheduled television to video-on-demand (VoD) ser-
vices. As broadcasting future seems to be online, customers have become
more sensitive to VoD quality, expecting ever-higher bitrates and lower
rebuffering. In this context, average bitrate is a key quality of service
(QoS) metric. Therefore, content delivery networks (CDNs) and con-
tent providers must be committed to enforce average bitrate through
service-level agreement (SLA) contracts. Adaptive content replication
is a promising technique towards this goal. However, this still offers a
major challenge for CDN providers, particularly as they aim to avoid
waste of resources. In this work, we introduce WiseReplica, an adaptive
replication scheme for peer-assisted VoD systems that enforces the aver-
age bitrate for Internet videos. Using an accurate machine-learned rank-
ing, WiseReplica saves storage and bandwidth from the vast majority
of non-popular contents for the most watched videos. Simulations using
YouTube traces suggest that our approach meets users expectations e-
ciently. Compared to caching, WiseReplica reduces the required replica-
tion degree for the most-watched videos by two orders of magnitude, and
under heavy load, it increases the average bitrate by roughly 85 %.
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Keywords: Peer-to-peer (P2P)
Video on-demand (VoD)
Caching
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Replication
Service-level agreement (SLA)
Prediction
1
Introduction
The increasing consumption of Internet videos has made fundamental changes
in the Internet trac and consumers' behaviour. Cisco System, Inc 1 forecasts
that the sum of all forms of video trac will be in the range of 80 to 90 percent of
1 Cisco Visual Networking Index: Forecast and Methodology, 2013-2018. www.cisco.
com , 2014.
 
 
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