High-performance network traffic processing systems using commodity hardware
Entidad
UAM. Departamento de Tecnología Electrónica y de las ComunicacionesEditor
Springer Berlin HeidelbergFecha de edición
2013-04-12Cita
10.1007/978-3-642-36784-7_1
Data Traffic Monitoring and Analysis: From Measurement, Classification, and Anomaly Detection to Quality of Experience. Lecture Notes in Computer Science, Volumen 7754. Springer, 2013. 3-27
ISSN
0302-9743 (print); 1611-3349 (online)ISBN
978-3-642-36783-0 (print); 978-3-642-36784-7 (online)DOI
10.1007/978-3-642-36784-7_1Versión del editor
http://dx.doi.org/10.1007/978-3-642-36784-7_1Materias
Commodity hardware; High-performance networking; Network traffic monitoring; Packet capture engine; Informática; TelecomunicacionesNota
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-36784-7_1Derechos
© Springer-Verlag Berlin Heidelberg 2013Resumen
The 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.
Lista de ficheros
Google Scholar:García Dorado, José Luis
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Mata Marcos, Felipe
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Ramos, Javier
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Santiago del Río, Pedro María
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Moreno, Víctor
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Aracil, Javier
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