DocumentCode :
3524936
Title :
A multiple criteria, measurement-based admission control mechanism for Self-Aware Networks
Author :
Sakellari, Georgia ; Gelenbe, Erol
Author_Institution :
Imperial Coll. London, London
fYear :
2008
fDate :
25-27 Aug. 2008
Firstpage :
1060
Lastpage :
1064
Abstract :
High demand and network congestion, can prevent multimedia applications and users from obtaining the network service they require for a successful operation. A way to control traffic congestion and satisfy all users´ QoS requirements, without overprovisioning, is admission control (AC). This work presents a measurement-based AC mechanism, which improves the performance of a self-aware network (SAN) (E. Gelenbe et al., 2004) and provides QoS throughout the lifetime of all connections. Our algorithm is a multiple criteria AC algorithm, where each user can specify the QoS metrics that interest him/her. Our scheme which decides whether a new call should be allowed to enter the network based on measurements of the QoS metrics on each link of the network before and after the transmission of probe packets. The decision is based on a novel algebra of QoS metrics, inspired by Warshal´s algorithm, that searches whether there is a feasible path to accommodate the new flow with out affecting the existing users. Our algorithm and the underlying mathematical principles was briefly described and we present experimental results, conducted in a large laboratory test-bed, under highly congested circumstances.
Keywords :
algebra; measurement; multimedia communication; quality of service; telecommunication congestion control; telecommunication traffic; algebra; measurement-based admission control mechanism; multimedia applications; network congestion; network service; probe packets transmission; quality of service requirements; self-aware networks; traffic congestion control; Admission control; Algebra; Algorithm design and analysis; Communication system traffic control; Educational institutions; Neural networks; Quality of service; Recurrent neural networks; Routing protocols; Storage area networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Networking in China, 2008. ChinaCom 2008. Third International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-2373-6
Electronic_ISBN :
978-1-4244-2374-3
Type :
conf
DOI :
10.1109/CHINACOM.2008.4685208
Filename :
4685208
Link To Document :
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