High precision traffic measurement

Cleary, John G.; Graham, Ian; McGregor, Tony; Pearson, Murray; Ziedins, L.; Curtis, James; Donnelly, Stephen F.; Martens, Jed; Martin, S.

doi:10.1109/35.989782

Cited by 15 publications

(8 citation statements)

References 2 publications

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“…Other commercial PNAs, thanks to special hardware assist, have a timestamp resolution in the order of 10 ns, but they are designed for local traffic (single point) recording [12], [13]. Some researchers proposed a PC-based instrument using special NIC [14], but also, this solution provides measurements in only one point. If a multi-points (distributed) measurement is needed (e.g., to characterize delays introduced by a cascade of switches on an RTE sync frame), then more instruments must be used; synchronization among them is needed in order to share the same timestamping reference.…”

Section: A Distributed Instrument For Performance Analysis Of Real-timentioning

confidence: 99%

A Distributed Instrument for Performance Analysis of Real-Time Ethernet Networks

Ferrari

Flammini

Marioli

et al. 2008

IEEE Trans. Ind. Inf.

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Ethernet technology is widely used in real-time industrial automation. Thanks to real-time Ethernet (RTE) protocols, defined in IEC61784-2 standard, new top-performance automation solutions can be created. Such systems may have communication cycle time down to tens of us and cycle jitter less than 1 us, making network testing and debugging very critical. Existing network and protocol analyzers can perform detailed local analysis, but characterization of high-performance RTE systems requires measurement of transmission delays and these instruments cannot be adequately synchronized among them to realize a distributed measurement network. This paper introduces a new low-cost distributed measurement instrument to measure timing characteristics of RTE nodes (end-to-end delays, synchronization, etc.). The proposed instrument has multiple FPGA-based probes that allow for simultaneous/ synchronized logging on different place of the target RTE network. A PC-based "monitor station" stores all the data, ready for further elaboration. Architecture details are discussed, a prototype has been realized, and some experimental results are presented. For instance, synchronization accuracy between probes is below 100 ns

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Section: A Distributed Instrument For Performance Analysis Of Real-timentioning

confidence: 99%

A Distributed Instrument for Performance Analysis of Real-Time Ethernet Networks

Ferrari

Flammini

Marioli

et al. 2008

IEEE Trans. Ind. Inf.

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“…As described in [12] using a standard Ethernet adapter in commodity hardware is not sufficient to meet the required timing precision. Hence the FGPA based special purpose cards is a feasible choice for such applications.…”

Section: Testbed Designmentioning

confidence: 99%

High precision testbed to evaluate ethernet performance for in-car networks

Revsbech

Madsen

Schiøler

2012

2012 12th International Conference on ITS Telecommunications

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Validating safety-critical real-time systems such as in-car networks often involves a model-based performance analysis of the network. An important issue performing such analysis is to provide precise model parameters, matching the actual equipment. One way to obtain such parameters is to derive them by measurements of the equipment. In this work we describe the design of a testbed enabling active measurements on up to 1 [Gb/Sec] Copper based Ethernet Switches. By use of the testbed it self, we conduct a series of tests where the precision of the testbed is estimated. We find a maximum error of ±55 [ns] measuring frame traversal time, and quantify the constant error imposed by the testbed it self.

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“…Although we consider only two hours of traffic, in terms of packets this represents 2 153 603 packets leaving the University of Auckland and 2 066 750 packets arriving. Cleary et al (2002) give a general introduction to the WAND project. Micheel, Graham & Brownlee (2001) give technical background on Internet measurement activity at the University of Auckland by the WAND group.…”

Section: Introductionmentioning

confidence: 99%

Using Multinomial Mixture Models to Cluster Internet Traffic

Jorgensen

2004

Aus NZ J of Statistics

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The paper considers the clustering of two large sets of Internet traffic data consisting of information measured from headers of transmission control protocol packets collected on a busy arc of a university network connecting with the Internet. Packets are grouped into 'flows' thought to correspond to particular movements of information between one computer and another. The clustering is based on representing the flows as each sampled from one of a finite number of multinomial distributions and seeks to identify clusters of flows containing similar packet-length distributions. The clustering uses the EM algorithm, and the data-analytic and computational details are given.

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High precision traffic measurement

Cited by 15 publications

References 2 publications

A Distributed Instrument for Performance Analysis of Real-Time Ethernet Networks

A Distributed Instrument for Performance Analysis of Real-Time Ethernet Networks

High precision testbed to evaluate ethernet performance for in-car networks

Using Multinomial Mixture Models to Cluster Internet Traffic

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