Adaptive Telemetry for Software-Defined Mobile Networks

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Show simple item record Cominardi, Luca Gonzalez Diaz, Sergio Oliva Delgado, Antonio de la Bernardos Cano, Carlos Jesús 2020-10-07T12:21:23Z 2020-10-07T12:21:23Z 2020-03-19
dc.identifier.bibliographicCitation Cominardi, 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 .
dc.identifier.issn 1064-7570
dc.description.abstract The 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.
dc.description.sponsorship This 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).
dc.format.extent 33
dc.language.iso eng
dc.publisher Springer
dc.rights © Springer Science + Business Media, LLC, part of Springer Nature 2020
dc.subject.other Mobile
dc.subject.other Network
dc.subject.other Monitoring
dc.subject.other Telemetry
dc.subject.other Experimental
dc.subject.other SDN
dc.subject.other Openflow
dc.subject.other OAM
dc.subject.other 5G
dc.title Adaptive Telemetry for Software-Defined Mobile Networks
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/859881
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/856709
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/751586
dc.type.version publishedVersion
dc.identifier.publicationfirstpage 660
dc.identifier.publicationissue 28
dc.identifier.publicationlastpage 692
dc.identifier.publicationtitle Journal of Network and Systems Management
dc.identifier.uxxi AR/0000026037
dc.contributor.funder European Commission
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