Wyniki wyszukiwania - BazTech

1

Spline-Extrapolation Method in Traﬃc Forecasting in 5G Networks

Strelkovskaya Irina, Solovskaya Irina, Makoganiuk Anastasiya

Journal of Telecommunications and Information Technology

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2019

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nr 3

8--16

EN

This paper considers the problem of predicting self-similar traﬃc with a signiﬁcant number of pulsations and the property of long-term dependence, using various spline functions. The research work focused on the process of modeling self-similar traﬃc handled in a mobile network. A splineextrapolation method based on various spline functions (linear, cubic and cubic B-splines) is proposed to predict selfsimilar traﬃc outside the period of time in which packet data transmission occurs. Extrapolation of traﬃc for short- and long-term forecasts is considered. Comparison of the results of the prediction of self-similar traﬃc using various spline functions has shown that the accuracy of the forecast can be improved through the use of cubic B-splines. The results allow to conclude that it is advisable to use spline extrapolation in predicting self-similar traﬃc, thereby recommending this method for use in practice in solving traﬃc prediction-related problems.

2

Influence of Self-Similar Traffic Type on Performance of QoS Routing Algorithms

Czarkowski M., Kaczmarek S., Wolff M.

International Journal of Electronics and Telecommunications

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2016

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Vol. 62, No. 1

81--87

EN

Providing a Quality of Services (QoS) into current telecommunication networks based on packet technology is a big challenge nowadays. Network operators have to support a number of new services like voice or video which generate new type of traffic. This traffic serviced with QoS in consequence requires access to appropriate network resources. Additionally, new traffic type is mixed with older one, like best-effort. Analysis of these new and mixed traffic types shows that this traffic is self-similar. Network mechanisms used for delivery of quality of services may depend on traffic type especially from the performance point of view. This paper presents a feasibility study done into the effect of traffic type influence on performance of routing algorithm while the routing algorithm is treated as one of the mechanisms to support QoS in the network.

3

Traffic type influence on performance of OSPF QoS routing

Czarkowski M., Kaczmarek S., Wolff M.

Journal of Telecommunications and Information Technology

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2013

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nr 3

19--28

EN

Feasibility studies with QoS routing proved that the network traffic type has influence on routing performance. In this work influence of self-similar traffic for network with DiffServ architecture and OSPF QoS routing has been verified. Analysis has been done for three traffic classes. Multiplexed On-Off model was used for self-similar traffic generation. Comparison of simulation results was presented using both relative and non-relative measures for three traffic classes. Results were commented and analyzed. The basic conclusion is that performance for streaming and best-effort class for self-similar traffic is higher than performance for the same class with exponential traffic (Poisson). The other important conclusion is relation between performance differences and offered traffic amount.