&lt;title&gt;Impact of aggregated self-similar on/off traffic on delay in stationary queueing models&lt;/title&gt;

Schwefel, Hans Peter; Lipsky, Lester

doi:10.1117/12.360370

Cited by 10 publications

(11 citation statements)

References 7 publications

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“…fractional Brownian motion (FBM), fractional Gaussian noise (FGN), and chaotic maps [12,16,25,30,35]. However, queueing theoretical techniques developed in the past are hardly applicable for these traffic models.…”

Section: Traffic Modellingmentioning

confidence: 99%

Prediction of communication delay in torus networks under multiple time-scale correlated traffic

Min

Ould‐Khaoua

2005

Performance Evaluation

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Section: Traffic Modellingmentioning

confidence: 99%

Prediction of communication delay in torus networks under multiple time-scale correlated traffic

Min

Ould‐Khaoua

2005

Performance Evaluation

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“…(13) and (14) and corrective parameters, we can deduce as And the following is for the cyclical micro data flow:…”

Section: Calculation Of Maximum Network Delaymentioning

confidence: 99%

Hybrid scheduling model and analysis of performance for switched industrial Ethernet

Liu

et al. 2007

J Cent. South Univ. Technol.

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The fact that outburst traffic in industrial Ethernet was focused on that would bring self-similar phenomenon leading to the delay increase of the cyclical data, and a hybrid priority queue schedule model was proposed in which the outburst data was given the highest priority. Some properties of the self-similar outburst data were proved by network calculus, and its service curve scheduled by the switch was gained. And then the performance of the scheduling algorithm was obtained. The simulation results are close to those calculated by using network calculus model. Some results are of actual significance to the construction of switched industrial Ethernet.

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“…The bursty nature of the Internet traffic has been shown to affect the queuing delay by Schwefel et al in [14,15]. Schwefel in his Ph.D thesis [16] gave an excellent performance analysis of intermediate systems serving aggregated On/Off traffic with LRD properties.…”

Section: Self-similar Trafficmentioning

confidence: 99%

“…In the past few years, studies of high-resolution traffic measurement from different working communication networks have provided ample evidence that actual network traffic is selfsimilar in nature [11][12][13]. Schwefel et al [14][15][16] showed that the buffer sizes and queuing delay in a network calculated using self-similar traffic model is much higher than that using the Poisson model. Our work is motivated by the fact that, the queuing delay considering self-similar traffic model is substantially higher than that considering Poisson model, and intuitively this difference will influence the design of virtual topology.…”

Section: Introductionmentioning

confidence: 99%

Multihop Virtual Topology Design in WDM Optical Networks for Self-Similar Traffic

et al. 2005

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Abstract. In this paper, we consider the problem of designing virtual topologies for multihop optical WDM networks when the traffic is self-similar in nature. Studies over the last few years suggest that the network traffic is bursty and can be much better modeled using self similar process instead of Poisson process. We examine buffer sizes of a network and observe that, even with reasonably low buffer overflow probability, the maximum buffer size requirement for self-similar traffic can be very large. Therefore, a self-similar traffic model has an impact on the queuing delay which is usually much higher than that obtained with the Poisson model. We investigate the problem of constructing the virtual topology with these two types of traffic and solve it with two algorithmic approaches: Greedy (Heuristic) algorithm and Evolutionary algorithm. While the greedy algorithm performs a leastcost search on the total delay along paths for routing traffic in a multihop fashion, the evolutionary algorithm uses genetic methods to optimize the average delay in a network. We analyze and compare our proposed algorithms with an existing algorithm via different performance parameters. Interestingly, with both the proposed algorithms the difference in the queuing delays, caused by self-similar and Poisson traffic, results in different multihop virtual topologies.

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<title>Impact of aggregated self-similar on/off traffic on delay in stationary queueing models</title>

Cited by 10 publications

References 7 publications

Prediction of communication delay in torus networks under multiple time-scale correlated traffic

Prediction of communication delay in torus networks under multiple time-scale correlated traffic

Hybrid scheduling model and analysis of performance for switched industrial Ethernet

Multihop Virtual Topology Design in WDM Optical Networks for Self-Similar Traffic

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