Show simple item record

dc.creatorVega, Carloses_ES
dc.creatorMiravalls-Sierra, Eduardoes_ES
dc.creatorJulián-Moreno, Guillermoes_ES
dc.creatorLópez de Vergara, Jorge E.es_ES
dc.creatorMagaña Lizarrondo, Eduardoes_ES
dc.creatorAracil Rico, Javieres_ES
dc.date.accessioned2019-02-22T12:34:11Z
dc.date.available2019-08-31T23:00:12Z
dc.date.issued2018
dc.identifier.issn1055-7148 (Print)
dc.identifier.issn1099-1190 (Electronic)
dc.identifier.urihttps://hdl.handle.net/2454/32388
dc.description.abstractIn this paper we analyze the performance issues involved in the generation of automated traffic reports for large IT infrastructures. Such reports allow the IT manager to proactively detect possible abnormal situations and roll out the corresponding corrective actions. With the ever-increasing bandwidth of current networks, the design of automated traffic report generation systems is very challenging. In a first step, the huge volumes of collected traffic are transformed into enriched flow records obtained from diverse collectors and dissectors. Then, such flow records, along with time series obtained from the raw traffic, are further processed to produce a usable report. As will be shown, the data volume in flow records turns out to be very large as well and requires careful selection of the Key Performance Indicators (KPIs) to be included in the report. In this regard, we discuss the use of high-level languages versus low-level approaches, in terms of speed and versatility. Furthermore, our design approach is targeted for rapid development in commodity hardware, which is essential to cost-effectively tackle demanding traffic analysis scenarios. Actually, the paper shows feasibility of delivering a large number of KPIs, as will be detailed later, for several TBytes of traffic per day using a commodity hardware architecture and high-level languages.en
dc.description.sponsorshipThis work has been partially supported by the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund under the projects TRÁFICA (MINECO/FEDER TEC2015‐69417‐C2‐1‐R) and Procesado Inteligente de Tráfico (MINECO/FEDER TEC2015‐69417‐C2‐2‐R). The authors also thank the Spanish Ministry of Education, Culture and Sports for a collaboration grant.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherWileyen
dc.relation.ispartofInternational Journal of Network Management, vol. 28, issue 6, november/december 2018 e2044en
dc.rights© 2018 John Wiley & Sons, Ltd.en
dc.subjectTraffic analysisen
dc.subjectNetwork managementen
dc.subjectAutomatic reportsen
dc.titleOn the design and performance evaluation of automatic traffic report generation systems with huge data volumesen
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Ingeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Ingeniaritza Elektriko eta Elektronikoa eta Komunikazio Sailaeu
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.embargo.terms2019-08-31
dc.identifier.doi10.1002/nem.2044
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TEC2015‐69417en
dc.relation.publisherversionhttps://doi.org/10.1002/nem.2044
dc.type.versionVersión aceptada / Onetsi den bertsioaes
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record