2010
DOI: 10.1016/j.comcom.2010.06.026
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Effective load for flow-level performance modelling of file transfers in wireless LANs

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Cited by 9 publications
(17 citation statements)
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“…Based on the effective service time, the effective load is defined to describe the performance of data flows in a network with an M/G/1 PS model. Extensive validation by means of simulations and experiments conducted with network equipment reveals that accurate predictions for the mean download time [19] and its distribution [20] can be obtained for a wide range of parameter combinations. Additionally, this model can be used to parameterize a PS-based queueing network, such that the outcomes correspond to the performance of real networks or vice versa.…”
Section: The Concurrent Access Network Modelmentioning
confidence: 99%
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“…Based on the effective service time, the effective load is defined to describe the performance of data flows in a network with an M/G/1 PS model. Extensive validation by means of simulations and experiments conducted with network equipment reveals that accurate predictions for the mean download time [19] and its distribution [20] can be obtained for a wide range of parameter combinations. Additionally, this model can be used to parameterize a PS-based queueing network, such that the outcomes correspond to the performance of real networks or vice versa.…”
Section: The Concurrent Access Network Modelmentioning
confidence: 99%
“…need to be parameterized into the parameters of the PS-models (e.g., service times). To this end, in [19] we propose the concept of effective service time and give a full parameterization, translating the TCP-parameters into PS-model parameters. In doing so, the transfer time of a file over a TCP network is modeled by the sojourn time of a job in the corresponding PS-model In the special case where the service-time distributions are all exponentially distributed, with rates µ i := 1/β i (i = 0, 1, .…”
Section: Dynamic Splitting Of Fg Jobsmentioning
confidence: 99%
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“…Processor Sharing (PS) models have been successfully applied to model TCP-based file transfers over a wide range of different network standards that are commonly used, from cellular [14], [15] to WLANs [16], [17]. The complex dynamics of multiple protocol layers can be modelled to obtain very accurate download response time predictions over a single network [17]. Despite the applicability of PS-based models to real communication networks, there is little known on PS-based models suitable for modelling the use of multiple networks concurrently.…”
Section: Introductionmentioning
confidence: 99%