DocumentCode :
1649804
Title :
The effect of traffic prediction on ABR buffer requirement
Author :
Qiu, B.
Author_Institution :
Sch. of Comput. Sci. & Software Eng., Monash Univ., Clayton, Vic., Australia
Volume :
1
fYear :
1999
Firstpage :
151
Abstract :
It has been demonstrated that traffic prediction improves the network efficiency and QoS performance in ATM networks. This was achieved by avoidance and control of congestion. In this paper, the effects of traffic prediction schemes on the available bit rate buffer are studied. It can be seen that under the same network environment and traffic intensity, traffic prediction reduces the buffer size for the ABR service. In particular, the fuzzy logic prediction introduced by Qiu (see Proc. IEEE GLOBECOM´97, p.967-71, 1997, and Proc. IEEE International Conference on Communications (ICC´98), p.1769-73, 1998 performs better than conventional autoregressive prediction.
Keywords :
asynchronous transfer mode; buffer storage; fuzzy logic; prediction theory; quality of service; queueing theory; telecommunication congestion control; telecommunication networks; telecommunication traffic; ABR buffer requirement; ABR service; ATM networks; B-ISDN; QoS performance; autoregressive prediction; available bit rate buffer; buffer size reduction; congestion avoidance; congestion control; fuzzy logic prediction; network efficiency; network environment; queueing model; traffic intensity; traffic prediction; Asynchronous transfer mode; Bit rate; Communication system traffic control; Computer science; Delay; Fuzzy logic; Software engineering; Switches; Telecommunication traffic; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 1999. APCC/OECC '99. Fifth Asia-Pacific Conference on ... and Fourth Optoelectronics and Communications Conference
Conference_Location :
Beijing, China
Print_ISBN :
7-5635-0402-8
Type :
conf
DOI :
10.1109/APCC.1999.824490
Filename :
824490
Link To Document :
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