Caching Over-The-Top Services, the Netflix Case

Stefan Jensen, Michael Jensen, Jose Manuel Gutierrez Lopez

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

1 Citationer (Scopus)

Abstract

Over-the-top (OTT) traffic represents around 67%
of the downstream Internet data volume during peak periods in
the US. OTT content providers have been following the strategy
of deploying caching servers within the ISPs’ own networks. This
work presents a method for deciding where these caches for OTT
services can be conveniently deployed to provide significant traffic
offload to ISPs’ back-haul links. The procedure followed is to find
suitable caching locations that minimize the maximum link traffic
load. The problem is defined and solved as a Link Load Balanced
Capacitated Facility Location Problem (LLB-CFL). The solution
search processes are implemented based on Genetic Algorithms
(GA), designing genetic operators highly targeted towards this
specific problem. The proposed methods are applied to a case
study focusing on the demand and cache specifications of Netflix,
and framed into a real geographical area, the island of Bornholm,
Denmark. The results cover a thorough analysis of the cost-fitness
trade-off of the search method and an evaluation of both cache
and gateway traffic flowing in the network in relation to the
solutions found using different network topologies.
OriginalsprogEngelsk
Titel2015 International Conference on Computing, Networking and Communications (ICNC)
ForlagIEEE
Publikationsdato2015
Sider1081 - 1086
ISBN (Elektronisk)978-4799-6959-3
DOI
StatusUdgivet - 2015
Begivenhed2015 International Conference on Computing, Networking and Communications (ICNC) - Garden Grove, CA, USA
Varighed: 16 feb. 201519 feb. 2015

Konference

Konference2015 International Conference on Computing, Networking and Communications (ICNC)
Land/OmrådeUSA
ByGarden Grove, CA
Periode16/02/201519/02/2015

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