Title :
Measurement-based effective bandwidth estimation for long range dependent traffic
Author :
Yu, X. ; Thng, L.J. ; Jiang, Y.
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
fDate :
6/23/1905 12:00:00 AM
Abstract :
Long-range dependent (LRD) or self-similar traffic is becoming more and more popular in today´s networks; for example, Web traffic, compressed video traffic are LRD traffic. To provide a satisfactory quality of service (QoS) in a network, the LRD property of sources needs to be considered. However, there are relatively few research publications with regard to the estimation of effective bandwidth and the implementation of a call admission control (CAC) procedure for LRD traffic. This paper approaches the effective bandwidth question from the LRD property of input traffic, and offers a new method for estimating the effective bandwidth for LRD traffic. Our simulation results show that our effective bandwidth estimator is able to effectively bound the overflow probability (or cell loss ratio) of LRD sources and provide the data necessary for a CAC algorithm to effectively manage the call admission control of LRD sources
Keywords :
bandwidth allocation; fractals; probability; quality of service; queueing theory; telecommunication congestion control; telecommunication traffic; CAC; LRD traffic; QoS; call admission control; cell loss ratio; long-range-dependent traffic; measurement-based bandwidth estimation; overflow probability; quality of service; queue length; self-similar traffic; tail distribution; Bandwidth; Call admission control; Communication system traffic control; Fractals; Probability distribution; Quality of service; Tail; Telecommunication traffic; Traffic control; Video compression;
Conference_Titel :
TENCON 2001. Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology
Print_ISBN :
0-7803-7101-1
DOI :
10.1109/TENCON.2001.949614
