Data modelling for the evaluation of virtualized network functions resource allocation algorithms

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  • dc.contributor.author Rankothge, Windhyaca
  • dc.contributor.author Le, Franckca
  • dc.contributor.author Russo, Alessandraca
  • dc.contributor.author Lobo, Jorgeca
  • dc.date.accessioned 2018-04-30T09:36:27Z
  • dc.date.available 2018-04-30T09:36:27Z
  • dc.date.issued 2017
  • dc.description.abstract To conduct a more realistic evaluations on resource allocation algorithms for Virtualized Network Functions (VNFs), researches need data on: (1) potential Network Functions (NFs) chains (policies), (2) traffic flows passing through these NFs chains, (3) how the dynamic traffic changes affect the NFs (scale out/in) and (4) different data center architectures for the cloud infrastructure. However, there are no publicly available real data sets on NF chains and traffic that pass through NF chains. Therefore, we have used data from previous empirical analyses [1], [2] and made some assumptions to derive the required data to evaluate resource allocation algorithms for VNFs. We developed four programs to model the gathered data and generate the required data. All gathered data and data modelling programs are publicly available at [3]. We have used these data for our work in [4] and [5].en
  • dc.description.sponsorship This research was sponsored by the U.S. Army Research Laboratory and the U.K. Ministry of Defence and was accomplished under Agreement Number W911NF-06-3-0001. Also this work is supported by the Maria de Maeztu Units of Excellence Programme (MDM-2015-0502).
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Rankothge W, Le F, Russo A, Lobo J. Data modelling for the evaluation of virtualized network functions resource allocation algorithms. 2017. 4 p.
  • dc.identifier.uri http://hdl.handle.net/10230/34517
  • dc.language.iso eng
  • dc.relation Publicació relacionada: Rankothge W, Ma J, Le F, Russo A, Lobo J. Experimental results on the use of genetic algorithms for scaling virtualized network functions. In: 2015 IEEE Conference on Virtualization and Software Defined Network (NFV-SDN); 2015 Nov 18-21; San Francisco, CA. IEEE; 2015. p. 47-53. DOI 10.1109/NFV-SDN.2015.7387405 http://hdl.handle.net/10230/26036
  • dc.relation http://hdl.handle.net/10230/26036
  • dc.relation.uri http://arxiv.org/abs/1702.00369
  • dc.rights Obra amb llicència Creative Commons Reconeixement-NoComercial 3.0 Espanya (CC BY-NC 3.0 ES).
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri http://creativecommons.org/licenses/by-nc/3.0/es/
  • dc.subject.other Ordinadors, Xarxes d'
  • dc.title Data modelling for the evaluation of virtualized network functions resource allocation algorithmsca
  • dc.type info:eu-repo/semantics/workingPaper
  • dc.type.version info:eu-repo/semantics/publishedVersion

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Informes (Departament de Tecnologies de la Informació i les Comunicacions)