DocumentCode :
2743150
Title :
An approach to measurement based Quality of Service control for communications networks
Author :
Davy, Alan ; Botvich, Dmitri ; Jennings, XBrendan
Author_Institution :
Telecommun. Software & Syst. Group, Waterford Inst. of Technol., Waterford, Ireland
fYear :
2009
fDate :
1-5 June 2009
Firstpage :
827
Lastpage :
832
Abstract :
This paper presents a purely empirical approach to estimating the effective bandwidth of aggregated traffic flows independent of traffic model assumptions. The approach is shown to be robust when used in a variety of traffic scenarios such as both elastic and streaming traffic flows of varying degrees of aggregation. The method then forms the basis of two quality of service related traffic performance optimisation strategies. The paper presents a cost efficient approach to supplying suitably accurate demand matrix input for QoS related network planning and a QoS provisioning, revenue maximising admission control algorithm for an IPTV services network. This paper summarises these approaches and discusses the major benefits of an appropriately accurate effective bandwidth estimation algorithm.
Keywords :
IPTV; quality of service; telecommunication congestion control; telecommunication network planning; telecommunication traffic; IPTV services network; QoS provisioning; communications network traffic; effective bandwidth estimation algorithm; elastic traffic flow; network planning; quality-of-service control; revenue admission control algorithm; streaming traffic flow; traffic flow aggregation; traffic model; Admission control; Bandwidth; Communication networks; Communication system control; Communication system traffic control; Costs; Optimization; Quality of service; Robustness; Traffic control; Admission Control; Aggregated Traffic; Demand Matrix; Effective Bandwidth; Optimization; Quality of Service; Revenue;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Integrated Network Management, 2009. IM '09. IFIP/IEEE International Symposium on
Conference_Location :
Long Island, NY
Print_ISBN :
978-1-4244-3486-2
Electronic_ISBN :
978-1-4244-3487-9
Type :
conf
DOI :
10.1109/INM.2009.5188890
Filename :
5188890
Link To Document :
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