2011 IEEE Global Telecommunications Conference - GLOBECOM 2011 2011
DOI: 10.1109/glocom.2011.6134047
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High-Performance Traffic Workload Architecture for Testing DPI Systems

Abstract: Traffic identification and classification are essential tasks performed by Internet Service Provider (ISPs) administrators. Deep Packet Inspection (DPI) is currently playing a key role in traffic identification and classification due to its increased expressive power. To allow fair comparison among different DPI techniques and systems, workload generators should have the following characteristics: (i) synthetic packets with meaningful payloads; (ii) TCP and UDP traffic generation; (iii) a configurable network … Show more

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Cited by 8 publications
(4 citation statements)
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“…References [7] and [8] has presented a technical survey for the implementation and evaluating of traffic classification modules under a common platform. Reference [9] has proposed a method that enables to find out a DPI engine deployment that satisfies the trade-off between the minimum number of engines and the minimum network load for a considered set of costs and operational constraints.…”
Section: Related Workmentioning
confidence: 99%
“…References [7] and [8] has presented a technical survey for the implementation and evaluating of traffic classification modules under a common platform. Reference [9] has proposed a method that enables to find out a DPI engine deployment that satisfies the trade-off between the minimum number of engines and the minimum network load for a considered set of costs and operational constraints.…”
Section: Related Workmentioning
confidence: 99%
“…Our main claim here is that our framework -in conjunction with realistic traffic generators (e.g. such as [13] and [16]) -will allow for fair comparison among newly developed DPI systems.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, those solutions are preconfigured to carry out a certain type of tests, and they are difficult to customize, being tied to an hardware implementation. On the contrary, software traffic generators are cheaper, often opensource or free of charge and more flexible, but it is expected that they have lower performance in terms of accuracy and precision [4], [5].…”
mentioning
confidence: 99%
“…We focus on IDT because it is the most sensitive to poor accuracy. Previous papers existing in the literature have already characterized some generators, in terms of average and experimental standard deviation of traffic rate (or of IDT) [5]- [9]. The step ahead in this paper is a model of IDT, based on the analysis of the empirical distribution of observed IDTs.…”
mentioning
confidence: 99%