CDN Slicing over a Multi-Domain Edge Cloud

Research output: Contribution to journalArticleScientificpeer-review

Researchers

  • Tarik Taleb

  • P. A. Frangoudis
  • Ilias Benkacem
  • Adlen Ksentini

Research units

  • University of Oulu
  • Sejong University
  • EURECOM

Abstract

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.

Details

Original languageEnglish
JournalIEEE Transactions on Mobile Computing
Publication statusE-pub ahead of print - 2019
MoE publication typeA1 Journal article-refereed

    Research areas

  • Cloud computing, Streaming media, 5G mobile communication, Resource management, Transcoding, Computer architecture, Network function virtualization, Content delivery network (CDN), Multi-Access Edge Computing (MEC), Network Slicing, Management and Orchestration (MANO), Network Function Virtualization (NFV), 5G, and Mobile Network

ID: 34903687