DocumentCode :
54881
Title :
In a Telco-CDN, Pushing Content Makes Sense
Author :
Zhe Li ; Simon, Gael
Author_Institution :
Network Dept. of Telecom Bretagne, Inst. Mines-Telecom, France
Volume :
10
Issue :
3
fYear :
2013
fDate :
Sep-13
Firstpage :
300
Lastpage :
311
Abstract :
The exploding HD video streaming traffic calls for deploying content servers deeper inside network operators\´ infrastructures. Telco-CDN are new content distribution services that are managed by Internet Service Providers (ISP). Since the network operator controls both the infrastructure and the content delivery overlay, it is in a position to engineer telco-CDN so that networking resources are optimally utilized. In this paper, we show the following two findings: 1. it is possible to implement an efficient algorithm for the placement of video chunks into a telco-CDN. We present an algorithm, which is based on a genetic algorithm implemented on the MapReduce framework. We show that, for a national VoD service, computing a quasi-optimal placement is possible. 2. such push strategy makes sense because it allows to actually take into account fine-grain traffic management strategies on the underlying infrastructure. Our proposal re-opens the debate about the relevance of such "push" approach (where the manager of telco-CDN proactively pushes video content into servers) versus the traditional caching approach (where the content is pulled to the servers from requests of clients). Our proposal of a quasi-optimal tracker enables fair comparisons between both approaches for most traffic engineering policies. We illustrate the interest of our proposal in the context of a major European Telco-CDN with real traces from a popular Video-on-Demand (VoD) service. Our experimental results show that, given a perfect algorithm for predicting user preferences, our placement algorithm is able to keep aligned with LRU caching in terms of the traditional hit-ratio, but the workload on some troubled links (e.g., over-used links) in a push-based strategy is significantly alleviated.
Keywords :
Internet; high definition video; telecommunication traffic; video on demand; video streaming; HD video streaming traffic; ISP; Internet service providers; LRU caching; MapReduce framework; Telco-CDN; content delivery overlay; content distribution services; content servers; fine-grain traffic management; genetic algorithm; hit ratio; national VoD service; placement algorithm; quasioptimal tracker; traffic engineering policies; user preferences; video chunks; video on demand; Cache management; Content management; Servers; Streaming media; Telecommunication network management; Telecommunication traffic; CDN; ISP; in-network caching; optimal content placement;
fLanguage :
English
Journal_Title :
Network and Service Management, IEEE Transactions on
Publisher :
ieee
ISSN :
1932-4537
Type :
jour
DOI :
10.1109/TNSM.2013.043013.130474
Filename :
6514997
Link To Document :
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