DocumentCode :
3501112
Title :
On the impact of long-range-dependent traffic in dimensioning ATM network buffer
Author :
Lin, George C. ; Suda, Tatsuya
Author_Institution :
Dept. of Inf. & Comput. Sci., California Univ., Irvine, CA, USA
Volume :
3
fYear :
1998
fDate :
29 Mar-2 Apr 1998
Firstpage :
1317
Abstract :
Recent measurements of packet networks have shown that packet traffic exhibits long-range-dependent property. Studies have also discovered that this property is not adequately captured by the conventional Markov traffic models and often yields queueing behavior such as heavy-tailed or subexponential queue length distribution. These findings have led to the implication that long-range-dependent traffic has a significant impact on determining queueing performance and dimensioning buffer requirement in general. This paper examines the impact of long-range-dependent traffic on providing connectionless services over ATM networks using AAL5 protocol. As connectionless data packets enter an ATM network, they are encapsulated into AAL5 frames. Within the ATM network, AAL5 frames are segmented into cells for transmission and reassembled at intermediate connectionless servers for frame switching. A queueing model characterizing the AAL5 frame reassembly operation is developed and analyzed to investigate the impact of long-range-dependent traffic on dimensioning the frame reassembly buffer. The buffer overflow probability is analytically derived. Tight upper bound and lower bound of the AAL5 frame loss probability are also established. The analysis shows that long-range-dependent traffic and conventional Markovian traffic yield similar queueing behavior in the frame reassembly operation
Keywords :
Markov processes; asynchronous transfer mode; buffer storage; exponential distribution; packet switching; queueing theory; telecommunication networks; telecommunication traffic; transport protocols; AAL5 frame reassembly; AAL5 protocol; ATM network buffer dimensioning; IP; Markov traffic models; buffer overflow probability; connectionless servers; connectionless services; frame loss probability; frame reassembly buffer; frame switching; heavy-tailed queue length distribution; long-range-dependent traffic; measurements; packet data networks; packet traffic; queueing model; queueing performance; subexponential queue length distribution; tight lower bound; tight upper bound; Asynchronous transfer mode; Atherosclerosis; Computer science; Intelligent networks; Network servers; Protocols; Queueing analysis; Telecommunication traffic; Traffic control; Web server;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM '98. Seventeenth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE
Conference_Location :
San Francisco, CA
ISSN :
0743-166X
Print_ISBN :
0-7803-4383-2
Type :
conf
DOI :
10.1109/INFCOM.1998.662947
Filename :
662947
Link To Document :
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