Modeling and Assessing Connectivity Services Performance in a Sandbox Domain
EntityUAM. Departamento de Tecnología Electrónica y de las Comunicaciones
PublisherInstitute of Electrical and Electronics Engineers Inc. (IEEE)
10.1109/JLT.2020.2975641Journal of Lightwave Technology 38.12 (2020): 3180-3189
ISSN0733-8724 (print); 1558-2213 (online)
Funded byThis work was partially supported by the EC through the METRO-HAUL (G.A. nº 761727) project, from the Spanish MINECO/FEDER TWINS (TEC2017-90097-R) and TRÁFICA (TEC2015-69417-C2-1-R) projects and from the Catalan Institution for Research and Advanced Studies.
ProjectGobierno de España. TEC2017-90097-R; Gobierno de España. TEC2015-69417-C2-1-R
SubjectsNetwork automation; performance modeling; sandbox domain; Telecomunicaciones
Note© 2020 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.
Rights© Institute of Electrical and Electronics Engineers
The automation of Network Services (NS) consisting of virtual functions connected through a multilayer packet-over-optical network requires predictable Quality of Service (QoS) performance, measured in terms of throughput and latency, to allow making proactive decisions. QoS is typically guaranteed by overprovisioning capacity dedicated to the NS, which increases costs for customers and network operators, especially when the traffic generated by the users and/or the virtual functions highly varies over the time. This article presents the PILOT methodology for modeling the performance of connectivity services during commissioning testing in terms of throughput and latency. Benefits are double: first, an accurate per-connection model allows operators to better operate their networks and reduce the need for overprovisioning; and second, customers can tune their applications to the performance characteristics of the connectivity. PILOT runs in a sandbox domain and constructs a scenario where an efficient traffic flow simulation environment, based on the CURSA-SQ model, is used to generate large amounts of data for Machine Learning (ML) model training and validation. The simulation scenario is tuned using real measurements of the connection (including throughput and latency) obtained from a set of active probes in the operator network. PILOT has been experimentally validated on a distributed testbed connecting UPC and Telefónica premises
Google Scholar:Ruiz, Marc - Ruiz, Mario - Tabatabaeimehr, Fatemehsadat - Gifre, Lluís - López Buedo, Sergio - López de Vergara Méndez, Jorge Enrique - Gonzalez, Óscar - Velasco, Luis
This item appears in the following Collection(s)
Showing items related by title, author, creator and subject.
Shariati, B.; Pedreno-Manresa, J. J.; Dochhan, A.; Muqaddas, A.S.; Casellas, R.; González de Dios, O.; Canto, L.L.; Lent, B.; López de Vergara Méndez, Jorge Enrique; López Buedo, Sergio; Moreno, F.J.; Pavón, P.; Velasco, L.; Patri, S.; Giorgetti, A.; Cugini, F.; Sgambelluri, A.; Nejabati, R.; Simeonidou, D.; Braun, R.P.; Autenrieth, A.; Elbers, J.P.; Fischer, J.K.; Freund, R.