Resource sharing efficiency in network slicing

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dc.contributor.author Márquez Colás, María Cristina
dc.contributor.author Gramaglia, Marco
dc.contributor.author Fiore, Marco
dc.contributor.author Banchs Roca, Albert
dc.contributor.author Costa Pérez, Xavier
dc.date.accessioned 2019-09-20T09:22:23Z
dc.date.available 2019-09-20T09:22:23Z
dc.date.issued 2019-06-17
dc.identifier.bibliographicCitation Marquez, C., Gramaglia, M., Fiore, M., Banchs, A. y Costa-Pérez, X. (2019.Resource Sharing Efficiency in Network Slicing. IEEE Transactions on Network and Service Management,16(3), pp. 909-923.
dc.identifier.issn 1932-4537
dc.identifier.uri http://hdl.handle.net/10016/28847
dc.description.abstract The economic sustainability of future mobile networks will largely depend on the strong specialization of its offered services. Network operators will need to provide added value to their tenants, by moving from the traditional one-size-fits-all strategy to a set of virtual end-to-end instances of a common physical infrastructure, named network slices , which are especially tailored to the requirements of each application. Implementing network slicing has significant consequences in terms of resource management: service customization entails assigning to each slice fully dedicated resources, which may also be dynamically reassigned and overbooked in order to increase the cost-efficiency of the system. In this paper, we adopt a data-driven approach to quantify the efficiency of resource sharing in future sliced networks. Building on metropolitan-scale real-world traffic measurements, we carry out an extensive parametric analysis that highlights how diverse performance guarantees, technological settings, and slice configurations impact the resource utilization at different levels of the infrastructure in presence of network slicing. Our results provide insights on the achievable efficiency of network slicing architectures, their dimensioning, and their interplay with resource management algorithms at different locations and reconfiguration timescales.
dc.description.sponsorship The work of University Carlos III of Madrid was supported by the H2020 5G-MoNArch project (Grant Agreement No. 761445) and the work of NEC Laboratories Europe by the 5GTransformer project (Grant Agreement No. 761536). The work of CNR-IEIIT was partially supported by the ANR CANCAN project (ANR-18-CE25-0011).
dc.format.extent 14
dc.language.iso eng
dc.publisher IEEE
dc.rights ©2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.subject.other Network slicing
dc.subject.other Resource management
dc.subject.other NFV
dc.title Resource sharing efficiency in network slicing
dc.type article
dc.description.status Publicado
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1109/TNSM.2019.2923265
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/761445/5G-MoNArch
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/761536/5G Transformer
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 909
dc.identifier.publicationissue 3
dc.identifier.publicationlastpage 923
dc.identifier.publicationtitle IEEE Transactions on Network and Service Management
dc.identifier.publicationvolume 16
dc.identifier.uxxi AR/0000023778
dc.contributor.funder European Commission
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