DocumentCode
3568726
Title
Call admission control in ATM using the diffusion model
Author
Mang, Xiaowen ; Gelenbe, Erol
Author_Institution
Cascade Commun. Corp., Westford, MA, USA
Volume
3
fYear
1996
Firstpage
1700
Abstract
ATM technology will support a wide variety of traffic needs, and satisfy a range of quality needs and network performance objectives. Thus call admission control algorithms for ATM must be robust to accommodate various types of traffic and simple enough to be implemented in real time. A call admission control procedure is proposed using statistical bandwidth as the decision criterion. The statistical bandwidth takes into consideration the users´ cell loss requirement, traffic characteristics and buffer size at statistical multiplexers, and is computed using diffusion approximations. Extensive simulation experiments show that our novel approach can significantly improve resource utilization compared to existing CAC (call admission control) criteria, while maintaining conservative bounds for the users´ cell loss criterion
Keywords
approximation theory; asynchronous transfer mode; buffer storage; queueing theory; statistical analysis; telecommunication congestion control; telecommunication traffic; ATM; B-ISDN; buffer size; call admission control; call admission control algorithms; cell loss criterion bounds; cell loss requirement; decision criterion; diffusion approximation; diffusion model; network performance; quality; queueing models; resource utilization; simulation experiments; statistical bandwidth; statistical multiplexers; traffic; traffic characteristics; Asynchronous transfer mode; Bandwidth; Bit rate; Call admission control; Communication system traffic control; Gaussian approximation; Resource management; Robust control; Streaming media; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 1996. GLOBECOM '96. 'Communications: The Key to Global Prosperity
Print_ISBN
0-7803-3336-5
Type
conf
DOI
10.1109/GLOCOM.1996.591929
Filename
591929
Link To Document