Optimal Planning of Virtual Content Delivery Networks under Uncertain Traffic Demands

Abstract : Content Delivery Networks (CDNs) have been identified as one of the relevant use cases where the emerging paradigm of Network Functions Virtualization (NFV) will likely be beneficial. In fact, virtualization fosters flexibility, since on-demand resource allocation of virtual CDN nodes can accommodate sudden traffic demand changes. However, there are cases where physical appliances should still be preferred, therefore we envision a mixed architecture in between these two solutions, capable to exploit the advantages of both of them. Motivated by these reasons, in this paper we formulate a two-stage stochastic planning model that can be used by CDN operators to compute the optimal long-term network planning decision, deploying physical CDN appliances in the network and/or leasing resources for virtual CDN nodes in data centers. Key findings demonstrate that for a large range of pricing options and traffic profiles, NFV can significantly save network costs spent by the operator to provide the content distribution service
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Article dans une revue
Computer Networks, Elsevier, 2016, 106, pp.186-195
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Contributeur : Fabio Martignon <>
Soumis le : mercredi 29 juin 2016 - 09:35:33
Dernière modification le : jeudi 26 avril 2018 - 10:28:57

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  • HAL Id : hal-01338680, version 1

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Michele Mangili, Jocelyne Elias, Fabio Martignon, Antonio Capone. Optimal Planning of Virtual Content Delivery Networks under Uncertain Traffic Demands. Computer Networks, Elsevier, 2016, 106, pp.186-195. 〈hal-01338680〉

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