Cloudified NGN infrastructure based on SDN and NFV

Ibrahim, Ashraf Issam Ahmed; Khalifa, Fath Elrahman Ismael

doi:10.1109/iccneee.2015.7381375

Cited by 1 publication

(1 citation statement)

References 7 publications

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“…With the continuous growing requirements of bandwidth-hungry and latency-sensitive applications such as 8K video and automatic driving, more and more CDN companies are deploying their CDN sites closer to end users, i.e., in access networks. In this trend, telecommunication companies/mobile network operators (MNOs) have more incentives and requirements than ever to deploy more CDN sites in their hierarchical cloudified networks [2][3][4]. On one hand, they are re-designing the network architecture to support better flexibility and higher efficiency by introducing software-defined networking (SDN) and network function virtualization (NFV) techniques.…”

Section: Introductionmentioning

confidence: 99%

Joint Location-Dependent Pricing and Request Mapping in ICN-Based Telco CDNs For 5G

et al. 2019

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Telco content delivery networks (CDNs) have envisioned building highly distributed and cloudified sites to provide a high-quality CDN service in the 5G era. However, there are still two open problems to be addressed. First, telco CDNs are operated upon the underlay network evolving towards information-centric networking (ICN). Different from CDNs that perform on the application layer, ICN enables information-centric forwarding to the network layer. Thus, it is challenging to take advantage of the benefits of both ICN and CDN to provide a high-quality content delivery service in the context of ICN-based telco CDNs. Second, bandwidth pricing and request mapping issues in ICN-based telco CDNs have not been thoroughly studied. In this paper, we first propose an ICN-based telco CDN framework that integrates the information-centric forwarding enabled by ICN and the powerful edge caching enabled by telco CDNs. Then, we propose a location-dependent pricing (LDP) strategy, taking into consideration the congestion level of different sites. Furthermore, on the basis of LDP, we formulate a price-aware request mapping (PARM) problem, which can be solved by existing linear programming solvers. Finally, we conduct extensive simulations to evaluate the effectiveness of our design.

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Section: Introductionmentioning

confidence: 99%