Publication:
Adaptive Telemetry for Software-Defined Mobile Networks

dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Network Technologieses
dc.contributor.authorCominardi, Luca
dc.contributor.authorGonzalez Diaz, Sergio
dc.contributor.authorOliva Delgado, Antonio de la
dc.contributor.authorBernardos Cano, Carlos Jesús
dc.contributor.funderEuropean Commissionen
dc.date.accessioned2020-10-07T12:21:23Z
dc.date.available2020-10-07T12:21:23Z
dc.date.issued2020-03-19
dc.description.abstractThe forthcoming set of 5G standards will bring programmability and flexibility to levels never seen before. This has required introducing changes in the architecture of mobile networks, enabling different features such as the split of control and data planes, as required to support the rapid programming of heterogeneous data planes. Software Defined Networking (SDN) has emerged as a basic toolset for operators to manage their infrastructure, as it opens up the possibility of running a multitude of intelligent and advanced applications for network optimization purposes in a centralized network controller. However, the very basic nature that makes possible this efficient management and operation in a flexible way-the logical centralization-poses important challenges due to the lack of proper monitoring tools, suited for SDN-based architectures. In order to take timely and right decisions while operat-ing a network, centralized intelligence applications need to be fed with a continuous stream of up-to-date network statistics. However, this is not feasible with current SDN solutions due to scalability and accuracy issues. This article first analyzes the monitoring issues in current SDN solutions and then proposes a telemetry frame-work for software defined mobile networks capable of adapting to the various 5G services. Finally, it presents an experimental validation that shows the benefits of the proposed solution at alleviating the load on the control and data planes, improv-ing the reactiveness to network events, and providing better accuracy for network measurements.en
dc.description.sponsorshipThis work has been partially funded by the H2020 Framework Programme Europe/Taiwan joint action 5G-DIVE Project (Grant No. 859881), by the H2020 Framework Programme EU 5G-Transformer Project (Grant No. 761586), and by the H2020 Framework Programme EU 5Growth Project (Grant No. 856709).en
dc.format.extent33
dc.identifier.bibliographicCitationCominardi, L., Gonzalez-Diaz, S., Oliva, A. de la, y Bernardos, C. J. (2020). Adaptive Telemetry for Software-Defined Mobile Networks. Journal of Network and Systems Management, 28, pp. 660–692 .en
dc.identifier.doihttps://doi.org/10.1007/s10922-020-09524-1
dc.identifier.issn1064-7570
dc.identifier.publicationfirstpage660
dc.identifier.publicationissue28
dc.identifier.publicationlastpage692
dc.identifier.publicationtitleJournal of Network and Systems Managementen
dc.identifier.urihttps://hdl.handle.net/10016/31091
dc.identifier.uxxiAR/0000026037
dc.language.isoengen
dc.publisherSpringeren
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/859881en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/856709en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/751586en
dc.rights© Springer Science + Business Media, LLC, part of Springer Nature 2020en
dc.rights.accessRightsopen access
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherMobileen
dc.subject.otherNetworken
dc.subject.otherMonitoringen
dc.subject.otherTelemetryen
dc.subject.otherExperimentalen
dc.subject.otherSDNen
dc.subject.otherOpenflowen
dc.subject.otherOAMen
dc.subject.other5Gen
dc.titleAdaptive Telemetry for Software-Defined Mobile Networksen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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