CDN Slicing over a Multi-Domain Edge Cloud

Tutkimustuotos: Lehtiartikkelivertaisarvioitu

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CDN Slicing over a Multi-Domain Edge Cloud. / Taleb, Tarik; Frangoudis, P. A.; Benkacem, Ilias; Ksentini, Adlen.

julkaisussa: IEEE Transactions on Mobile Computing, 2019.

Tutkimustuotos: Lehtiartikkelivertaisarvioitu

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Taleb, Tarik ; Frangoudis, P. A. ; Benkacem, Ilias ; Ksentini, Adlen. / CDN Slicing over a Multi-Domain Edge Cloud. Julkaisussa: IEEE Transactions on Mobile Computing. 2019.

Bibtex - Lataa

@article{8fa9b21ec0e5402c9cbc73baaed5e985,
title = "CDN Slicing over a Multi-Domain Edge Cloud",
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.",
keywords = "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",
author = "Tarik Taleb and Frangoudis, {P. A.} and Ilias Benkacem and Adlen Ksentini",
note = "Tarkista Eurecomin arkistosta k{\"a}sikirjoitus, kun ilmestyy. | openaire: EC/H2020/723172/EU//5GPagoda | openaire: EC/H2020/761898/EU//MATILDA",
year = "2019",
doi = "10.1109/TMC.2019.2921712",
language = "English",
journal = "IEEE Transactions on Mobile Computing",
issn = "1536-1233",

}

RIS - Lataa

TY - JOUR

T1 - CDN Slicing over a Multi-Domain Edge Cloud

AU - Taleb, Tarik

AU - Frangoudis, P. A.

AU - Benkacem, Ilias

AU - Ksentini, Adlen

N1 - Tarkista Eurecomin arkistosta käsikirjoitus, kun ilmestyy. | openaire: EC/H2020/723172/EU//5GPagoda | openaire: EC/H2020/761898/EU//MATILDA

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Cloud computing

KW - Streaming media

KW - 5G mobile communication

KW - Resource management

KW - Transcoding

KW - Computer architecture

KW - Network function virtualization

KW - Content delivery network (CDN)

KW - Multi-Access Edge Computing (MEC)

KW - Network Slicing

KW - Management and Orchestration (MANO)

KW - Network Function Virtualization (NFV)

KW - 5G

KW - and Mobile Network

U2 - 10.1109/TMC.2019.2921712

DO - 10.1109/TMC.2019.2921712

M3 - Article

JO - IEEE Transactions on Mobile Computing

JF - IEEE Transactions on Mobile Computing

SN - 1536-1233

ER -

ID: 34903687