5G-MoNArch use case for ETSI ENI: elastic resource management and orchestration

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dc.contributor.author Gutiérrez-Estévez, David M.
dc.contributor.author Di Pietro, Nicola
dc.contributor.author De Domenico, Antonio
dc.contributor.author Gramaglia, Marco
dc.contributor.author Elzur, Uri
dc.contributor.author Wang, Y.
dc.date.accessioned 2019-03-21T12:23:50Z
dc.date.available 2019-03-21T12:23:50Z
dc.date.issued 2018-12-20
dc.identifier.bibliographicCitation 2018 IEEE Conference on Standards for Communications and Networking (CSCN), 29-31 October 2018, Paris, France [Proceedings], 5 p.
dc.identifier.isbn 978-1-5386-8146-6
dc.identifier.uri http://hdl.handle.net/10016/28228
dc.description Proceeding of: 2018 IEEE Conference on Standards for Communications and Networking (CSCN)
dc.description.abstract 5G networks will grant spectacular improvements of the most relevant Key Performance Indicators (KPIs) while allowing resource multi-tenancy through network slicing. However, the other side of the coin is represented by the huge increase of the management complexity and the need for efficient algorithms for resource orchestration. Therefore, the management and orchestration of the network through Artificial Intelligence (AI) and Machine Learning (ML) algorithms is considered a promising solution, as it allows to reduce the human interaction (usually expensive and error-prone) and scale to large scenario composed by thousands of slices in heterogeneous environments. In this paper, we provide a review of the current standardization efforts in this field, mostly due to the work performed by the Experiential Network Intelligence (ENI) industry specification group (ISG) within the European Telecommunications Standards Institute (ETSI). Then, we thoroughly describe an exemplary use case on elastic network management and orchestration through learning solutions proposed by the 5GPPP project 5G-MoNArch and recently approved at ETSI ENI.
dc.format.extent 5
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2018 IEEE.
dc.subject.other Elasticity
dc.subject.other Artificial Intelligence
dc.subject.other 5g Mobile Communication
dc.subject.other Resource Management
dc.subject.other Computer Architecture
dc.subject.other Industries
dc.subject.other ETSI
dc.title 5G-MoNArch use case for ETSI ENI: elastic resource management and orchestration
dc.type bookPart
dc.type conferenceObject
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1109/CSCN.2018.8581789
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/761445 (5G-MoNArch)
dc.type.version acceptedVersion
dc.relation.eventdate 2018-10-29
dc.relation.eventplace París, Francia
dc.relation.eventtitle 2018 IEEE Conference on Standards for Communications and Networking (CSCN)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 1
dc.identifier.publicationlastpage 5
dc.identifier.publicationtitle 2018 IEEE Conference on Standards for Communications and Networking (CSCN), 29-31 October 2018, Paris, France [Proceedings]
dc.identifier.uxxi CC/0000029318
dc.contributor.funder European Commission
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