Model of a Multiservice Server with Stream and Elastic Traffic

Hanczewski, Sławomir; Stasiak, Maciej; Weissenberg, Joanna

doi:10.1007/978-3-030-31254-1_34

Cited by 2 publications

(3 citation statements)

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“…To the best of the authors' knowledge, this is the first model of a system of this type in the world. The implementation of the research was an extension of previous research carried out in the research team, resulting in publications [12], [13], [24], [25], [36]- [40]. In these publications, various ICT systems with BPP traffic were considered, but none of them used queuing, which is widely used in today's systems.…”

Section: A Research Motivationmentioning

confidence: 99%

Model of a Queuing System With BPP Elastic and Adaptive Traffic

Weissenberg

2022

IEEE Access

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This paper presents an analytical model of a multiservice queueing system that services elastic and adaptive BPP traffic. The model presented in the paper was developed as an extension of earlier works published by the authors. The model is based on several concepts specific to modelling multi-service systems. In order to derive the model, the idea of equivalent bandwidth and the discretisation process were used first. Subsequently, the MIM-BPP method was generalised in relation to a system with traffic that undergoes the compression mechanism. Since the proposed model is an approximate one, the results of the calculation are compared with the simulation results. The comparison of the results confirms the accuracy of the proposed model.

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Section: A Research Motivationmentioning

confidence: 99%

Model of a Queuing System With BPP Elastic and Adaptive Traffic

Weissenberg

2022

IEEE Access

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“…In this model, it is assumed that the system services only stream traffic, i.e., adaptive traffic is approximated with such stream traffic that it corresponds to adaptive traffic with the maximum compression coefficient. In [33], a twodimensional queueing model is proposed. In the model, it is assumed that the occupancy distribution may be represented as the product of two occupancy distributions associated with the relevant types of traffic.…”

Section: Introductionmentioning

confidence: 99%

“…Such an approach has made it possible to develop a model of a full-availability resources with a mixture of stream and elastic traffic. In [33], it is assumed that the Markov service process is reversible and, as a result, that the serviced resource division is in agreement with the balanced fairness algorithm. Moreover, the assumption that the service process is reversible has enabled the construction of a two-dimensional occupancy distribution in which one dimension corresponds to the occupancy distribution of stream traffic and the other corresponds to the occupancy distribution of elastic traffic.…”

Section: Introductionmentioning

confidence: 99%