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
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