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Wyszukujesz frazę "self-similar traffic" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Influence of Self-Similar Traffic Type on Performance of QoS Routing Algorithms
Autorzy:
Czarkowski, M.
Kaczmarek, S.
Wolff, M.
Powiązania:
https://bibliotekanauki.pl/articles/226877.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
self-similar traffic
QoS routing
performance
simulation
Opis:
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.
Źródło:
International Journal of Electronics and Telecommunications; 2016, 62, 1; 81-87
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Spline-Extrapolation Method in Traffic Forecasting in 5G Networks
Autorzy:
Strelkovskaya, Irina
Solovskaya, Irina
Makoganiuk, Anastasiya
Powiązania:
https://bibliotekanauki.pl/articles/309401.pdf
Data publikacji:
2019
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
quality of service
self-similar traffic
spline functions
error of recovery
Opis:
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.
Źródło:
Journal of Telecommunications and Information Technology; 2019, 3; 8-16
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Traffic type influence on performance of OSPF QoS routing
Autorzy:
Czarkowski, M.
Kaczmarek, S.
Wolff, M.
Powiązania:
https://bibliotekanauki.pl/articles/307682.pdf
Data publikacji:
2013
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
DiffServ
exponential traffic
network performance
OSPF routing
packet networks
QoS
self-similar traffic
Opis:
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.
Źródło:
Journal of Telecommunications and Information Technology; 2013, 3; 19-28
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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