T. Taleb, P. A. Frangoudis, I. Benkacem and A. Ksentini, "CDN Slicing over a Multi-Domain Edge Cloud," in IEEE Transactions on Mobile Computing, vol. 19, no. 9, pp. 2010-2027, 1 Sept. 2020, doi: 10.1109/TMC.2019.2921712
CDN slicing over a multi-domain edge cloud
|Author:||Taleb, Tarik1,2,3; Frangoudis, Pantelis A.4; Benkacem, Ilias1;|
1Department of Communications and Networking, School of Electrical Engineering, Aalto University, 02150 Espoo, Finland
2Oulu University, Oulu, Finland
3Sejong University, Seoul 143-747, South Korea
4Communication Systems Department, EURECOM, 06410 Sophia-Antipolis, France
|Online Access:||PDF Full Text (PDF, 0.8 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020100983551
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2020-10-09
We present an architecture for the provision of video Content Delivery Network (CDN) functionality as a service over a multi-domain cloud. We introduce the concept of a CDN slice, that is, a CDN service instance which is created upon a content provider’s request, is autonomously managed, and spans multiple, potentially heterogeneous, edge cloud infrastructures. Our design is tailored to a 5G mobile network context, building on its inherent programmability, management flexibility, and the availability of cloud resources at the mobile edge level, thus close to end users. We exploit Network Functions Virtualization (NFV) and Multi-access Edge Computing (MEC) technologies, proposing a system which is aligned with the recent NFV and MEC standards. To deliver a Quality-of-Experience (QoE) optimized video service, we derive empirical models of video QoE as a function of service workload, which, coupled with multi-level service monitoring, drive our slice resource allocation and elastic management mechanisms. These management schemes feature autonomic compute resource scaling, and on-the-fly transcoding to adapt video bit-rate to the current network conditions. Their effectiveness is demonstrated via testbed experiments.
IEEE transactions on mobile computing
|Pages:||2010 - 2027|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was partially funded by the Academy of Finland Project CSN under Grant Agreement No. 311654, and the Academy of Finland’s Flagship Programme 6Genesis under Grant Agreement No. 318927. The work is also partially supported by the European Union’s Horizon 2020 research and innovation program under the 5G!Pagoda, 5GTRANSFORMER, and MATILDA projects with grant agreement No. 723172, No. 761536, and No. 761898, respectively.
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
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