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dc.contributor.authorBarakabitze, Alcardo Alex
dc.contributor.authorAhmad, A
dc.contributor.authorHines, A
dc.contributor.authorMijumbi, R
dc.date.accessioned2019-12-09T16:46:35Z
dc.date.available2019-12-09T16:46:35Z
dc.date.issued2020-02
dc.identifier.issn1389-1286
dc.identifier.issn1872-7069
dc.identifier.other106984
dc.identifier.urihttp://hdl.handle.net/10026.1/15232
dc.description40 Pages, 22 figures, published in computer networks (Open Access)
dc.description.abstract

The increasing consumption of multimedia services and the demand of high-quality services from customers has triggered a fundamental change in how we administer networks in terms of abstraction, separation, and mapping of forwarding, control and management aspects of services. The industry and the academia are embracing 5G as the future network capable to support next generation vertical applications with different service requirements. To realize this vision in 5G network, the physical network has to be sliced into multiple isolated logical networks of varying sizes and structures which are dedicated to different types of services based on their requirements with different characteristics and requirements (e.g., a slice for massive IoT devices, smartphones or autonomous cars, etc.). Softwarization using Software-Defined Networking (SDN) and Network Function Virtualization (NFV)in 5G networks are expected to fill the void of programmable control and management of network resources. In this paper, we provide a comprehensive review and updated solutions related to 5G network slicing using SDN and NFV. Firstly, we present 5G service quality and business requirements followed by a description of 5G network softwarization and slicing paradigms including essential concepts, history and different use cases. Secondly, we provide a tutorial of 5G network slicing technology enablers including SDN, NFV, MEC, cloud/Fog computing, network hypervisors, virtual machines & containers. Thidly, we comprehensively survey different industrial initiatives and projects that are pushing forward the adoption of SDN and NFV in accelerating 5G network slicing. A comparison of various 5G architectural approaches in terms of practical implementations, technology adoptions and deployment strategies is presented. Moreover, we provide a discussion on various open source orchestrators and proof of concepts representing industrial contribution. The work also investigates the standardization efforts in 5G networks regarding network slicing and softwarization. Additionally, the article presents the management and orchestration of network slices in a single domain followed by a comprehensive survey of management and orchestration approaches in 5G network slicing across multiple domains while supporting multiple tenants. Furthermore, we highlight the future challenges and research directions regarding network softwarization and slicing using SDN and NFV in 5G networks.

dc.format.extent106984-106984
dc.languageen
dc.language.isoen
dc.publisherElsevier BV
dc.rightsAttribution 4.0 International
dc.rightsAttribution 4.0 International
dc.rightsAttribution 4.0 International
dc.rightsAttribution 4.0 International
dc.rightsAttribution 4.0 International
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject5G
dc.subjectSDN
dc.subjectNFV
dc.subjectNetwork slicing
dc.subjectCloud/edge computing
dc.subjectNetwork softwarization
dc.title5G Network Slicing using SDN and NFV: A Survey of Taxonomy, Architectures and Future Challenges
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000510524600016&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.volume167
plymouth.publisher-urlhttp://dx.doi.org/10.1016/j.comnet.2019.106984
plymouth.publication-statusPublished
plymouth.journalComputer Networks
dc.identifier.doi10.1016/j.comnet.2019.106984
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
dcterms.dateAccepted2019-11-06
dc.rights.embargodate2019-12-17
dc.identifier.eissn1872-7069
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1016/j.comnet.2019.106984
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
rioxxterms.typeJournal Article/Review


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