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Enhancing Resources Placement in a Multi-CDN Context

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HAL Id: hal-01119027

https://hal.archives-ouvertes.fr/hal-01119027

Submitted on 20 Feb 2015

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Enhancing Resources Placement in a Multi-CDN Context

Ghida Ibrahim

To cite this version:

Ghida Ibrahim. Enhancing Resources Placement in a Multi-CDN Context. 24th International Tele-traffic Congress, Sep 2012, Cracovie, Poland. �hal-01119027�

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Enhancing Resources Placement in a Multi-CDN Context

Ghida Ibrahim

Context:

Some popular contents like Videos are very

demanding in terms of amount and type of required resources (hardware/ Software/ Network resources) but also in terms of these resources placement in the network.

CDNs present many differences in terms of footprint, QoS and available hardware and software capacities.

A CDN performance is not stable, it is subject to traffic and demand fluctuations over time.

No CDN is the "Best"

Content Distribution should move from a single CDN/ CP domain to an open CDN infrastructure

Conclusions:

• Our framework is expected to enhance existing approaches in terms of counting on granular information gathered from different sources (many CDNs) prior to establishing a CDN federation.

It adds dynamicity to the requests redirection process and enables updating the established SLAs based on the evolution of CDNs performance and network state.

• Future work

Applying the framework to specific use cases Introducing subsequent algorithms

Moving towards the "Open CDN" Infrastructure

September 2012

Existing Solutions For CDN Interconnection

How it works ? Framework overview

 CDNI – ALTO working groups Proposal: Footprint based

CP uCDN dCDN1 dCDN2 dCDN3 ALTO Client ALTO Server ALTO Server ALTO Server

 CDN Broker (Selecter) proprietary solutions (e.g. Cedexis): Footprint and Reputation based

CP CDN Broker CDN1 CDN2 CDN3

What to optimize ?

- Optimizing the initial selection of CDNs involved in a CDN federation

 Ensure a more granular matching between

CDNs capacities and service requirements

 Go beyond the "geographic footprint" criteria

- Optimizing the Redirection Process

 Perform dynamic measurements of peering/

transit traffic and CDN performance

 Use these measurements as inputs for

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