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dc.contributor.authorGarcía Dorado, José Luis 
dc.contributor.authorMata Marcos, Felipe
dc.contributor.authorRamos, Javier
dc.contributor.authorSantiago del Río, Pedro María
dc.contributor.authorMoreno, Víctor
dc.contributor.authorAracil, Javier
dc.contributor.editorBiersack, Ernst
dc.contributor.editorCallegari, Christian
dc.contributor.editorMatijasevic, Maja
dc.contributor.otherUAM. Departamento de Tecnología Electrónica y de las Comunicacioneses_ES
dc.date.accessioned2015-07-14T06:20:25Z
dc.date.available2015-07-14T06:20:25Z
dc.date.issued2013-04-12
dc.identifier.citationData Traffic Monitoring and Analysis: From Measurement, Classification, and Anomaly Detection to Quality of Experience. Lecture Notes in Computer Science, Volumen 7754. Springer, 2013. 3-27en_US
dc.identifier.isbn978-3-642-36783-0 (print)en_US
dc.identifier.isbn978-3-642-36784-7 (online)en_US
dc.identifier.issn0302-9743 (print)en_US
dc.identifier.issn1611-3349 (online)en_US
dc.identifier.urihttp://hdl.handle.net/10486/667370
dc.descriptionThe final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-36784-7_1en_US
dc.description.abstractThe Internet has opened new avenues for information ac- cessing and sharing in a variety of media formats. Such popularity has resulted in an increase of the amount of resources consumed in backbone links, whose capacities have witnessed numerous upgrades to cope with the ever-increasing demand for bandwidth. Consequently, network tra c processing at today's data transmission rates is a very demanding task, which has been traditionally accomplished by means of specialized hard- ware tailored to speci c tasks. However, such approaches lack either of exibility or extensibility|or both. As an alternative, the research com- munity has pointed to the utilization of commodity hardware, which may provide exible and extensible cost-aware solutions, ergo entailing large reductions of the operational and capital expenditure investments. In this chapter, we provide a survey-like introduction to high-performance network tra c processing using commodity hardware. We present the required background to understand the di erent solutions proposed in the literature to achieve high-speed lossless packet capture, which are reviewed and compared.en_US
dc.format.extent27 pág.es_ES
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherSpringer Berlin Heidelberg
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.rights© Springer-Verlag Berlin Heidelberg 2013
dc.subject.otherCommodity hardwareen_US
dc.subject.otherHigh-performance networkingen_US
dc.subject.otherNetwork traffic monitoringen_US
dc.subject.otherPacket capture engineen_US
dc.titleHigh-performance network traffic processing systems using commodity hardwareen_US
dc.typebookParten
dc.subject.ecienciaInformáticaes_ES
dc.subject.ecienciaTelecomunicacioneses_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-642-36784-7_1
dc.identifier.doi10.1007/978-3-642-36784-7_1
dc.identifier.publicationfirstpage3
dc.identifier.publicationlastpage27
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dc.contributor.groupComputación y Redes de Altas Prestaciones (ING EPS-004)es_ES
dc.rights.accessRightsopenAccessen
dc.authorUAMMata Marcos, Felipe (264022)
dc.authorUAMSantiago Del Rio, Pedro María (264042)
dc.facultadUAMEscuela Politécnica Superior


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