Recently, IP satellite networks are gaining a considerable interest to deliver high bandwidth services to nation-wide areas. Satellite bandwidth is a very valuable resource, hence it must be carefully shared among users. Moreover, IP traffic is inherently a bursty traffic, hence a dynamic allocation is needed. However, some difficulties still exist to implement such a method on geostationary satellite networks, since allocation delays have a negative impact on Quality of Service provisioning. The main problem arises from the high delay between the traffic start and the actual bandwidth allocation. To overcome this problem, a prediction of the resource needs has to be considered. The proposed technique takes advantage of a proper statistical traffic modeling to make a prediction of the needed bandwidth. Moreover, requests take into account the DiffServ traffic class in order to maintain a QoS priority among different users.

An Improved Dynamic Bandwidth Allocation Scheme Based on Traffic Prediction for DVB-RCS Systems / F. Chiti;R. Fantacci;T. Pecorella;L. Giacomelli;M. Poggesi;F. Poggianti. - ELETTRONICO. - (2003), pp. 1-10. ((Intervento presentato al convegno First International Conference on Advanced Satellite Mobile Systems ASMS 2003 tenutosi a Frascati (Italia) nel 2003-Jul..

An Improved Dynamic Bandwidth Allocation Scheme Based on Traffic Prediction for DVB-RCS Systems

CHITI, FRANCESCO;FANTACCI, ROMANO;PECORELLA, TOMMASO;
2003

Abstract

Recently, IP satellite networks are gaining a considerable interest to deliver high bandwidth services to nation-wide areas. Satellite bandwidth is a very valuable resource, hence it must be carefully shared among users. Moreover, IP traffic is inherently a bursty traffic, hence a dynamic allocation is needed. However, some difficulties still exist to implement such a method on geostationary satellite networks, since allocation delays have a negative impact on Quality of Service provisioning. The main problem arises from the high delay between the traffic start and the actual bandwidth allocation. To overcome this problem, a prediction of the resource needs has to be considered. The proposed technique takes advantage of a proper statistical traffic modeling to make a prediction of the needed bandwidth. Moreover, requests take into account the DiffServ traffic class in order to maintain a QoS priority among different users.
Proceedings of the First International Conference on Advanced Satellite Mobile Systems ASMS 2003
First International Conference on Advanced Satellite Mobile Systems ASMS 2003
Frascati (Italia)
2003-Jul.
F. Chiti;R. Fantacci;T. Pecorella;L. Giacomelli;M. Poggesi;F. Poggianti
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2158/825932
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