Comparison of the analytic N-burst model with other approximations to telecommunications traffic

Lipsky, Lester; Jobmann, Manfred; Greiner, Michael; Schwefel, Hans Peter

doi:10.1109/nca.2001.962524

Cited by 8 publications

(12 citation statements)

References 10 publications

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“…An extension to this single stream model is the N -burst model [Lipsky et al, 2001]. Here, multiple sources produce packets which are loss-less buffered in a router.…”

Section: A On/off Modelmentioning

confidence: 99%

“…Figure 3 shows the distribution of the applications which are responsible for most of the traffic. The distribution of applications is given in [Luo and Marin, 2005]. http, ftp, ssh, pop3 and smtp form more than half of the TCP (Transmission Control Protocol) traffic.…”

Section: Applicationsmentioning

confidence: 99%

“…Of course it would be possible to mix tunnel traffic from a set of sources, too, but in this case the b-model reduces the computing effort. The parameter sets for the On/Off model to generate application-specific traffic can be taken from [Luo and Marin, 2005].…”

Section: Applicationsmentioning

confidence: 99%

See 2 more Smart Citations

An Application-Oriented Synthetic Network Traffic Generator

Albrecht¹,

Osterloh²,

Pionteck³

et al. 2008

ECMS 2008 Proceedings Edited By: L. S. Louca, Y. Chrysanthou, Z. Oplatkova, K. Al-Begain

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Abstract-Design space exploration and detailed analysis in the field of hardware design applies simulation in many variants. A frequently used method is stochastic simulation where systems are stimulated by randomised input. Synthetic traffic traces mainly form the load for stochastic simulation of network computing devices. The generator presented here utilises two well-known models to meet the features of a majority of applications and traffic sources. Based on application-specific parameter sets, the traffic models stochastically generate packet flows which are merged to an aggregated stream. Nevertheless, all packets can always be identified and are not resolved to a data mass representing the load of a link.

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“…An extension to this single stream model is the N -burst model [Lipsky et al, 2001]. Here, multiple sources produce packets which are loss-less buffered in a router.…”

Section: A On/off Modelmentioning

confidence: 99%

Section: Applicationsmentioning

confidence: 99%

See 1 more Smart Citation

An Application-Oriented Synthetic Network Traffic Generator

Albrecht¹,

Osterloh²,

Pionteck³

et al. 2008

ECMS 2008 Proceedings Edited By: L. S. Louca, Y. Chrysanthou, Z. Oplatkova, K. Al-Begain

View full text Add to dashboard Cite

show abstract

“…The N -Flow model is a variant of many ON-OFF models presented in the literature [7]. The ON-OFF arrival process consists of two states called the ON state and the OFF state.…”

Section: Introduction To the N-flow Modelmentioning

confidence: 99%

“…This means that packet traffic looks bursty at any scale of observations. An example of such traffic is file transmission over the Internet whose size distribution tends to have power − tailed behavior [7]. Aggregation of multiple ON-OFF arrival processes (i.e., N -Flow model) with heavy-tailed distribution for ON durations produces self-similar traffic.…”

Section: Introduction To the N-flow Modelmentioning

confidence: 99%

Study of Bursty Internet Traffic

Siriwong

Lipsky

Ammar

2007

Sixth IEEE International Symposium on Network Computing and Applications (NCA 2007)

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We study the effects of bursty Internet Traffic through simulations. Both short-range dependency (SRD) traffic and longrange dependency (LRD) traffic are simulated over different burst parameters. The results are collected for 10 different 24 hour simulated periods in order to study and measure day-today statistical fluctuation. Effects of employing different traffic admission constraints are examined. An alternative for improving network throughput and utilization is proposed. Finally, a case when arrival patterns of traffic are correlated is explored.

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Modeling and simulation of data transmission on a hybrid fiber coax cable network

García

et al. 2004

Simulation Modelling Practice and Theory

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Comparison of the analytic N-burst model with other approximations to telecommunications traffic

Cited by 8 publications

References 10 publications

An Application-Oriented Synthetic Network Traffic Generator

An Application-Oriented Synthetic Network Traffic Generator

Study of Bursty Internet Traffic

Modeling and simulation of data transmission on a hybrid fiber coax cable network

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