DocumentCode :
296451
Title :
ATM rate based congestion control using a Smith predictor: an EPRCA implementation
Author :
Mascolo, S. ; Cavendish, D. ; Gerla, M.
Author_Institution :
Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy
Volume :
2
fYear :
1996
fDate :
24-28 Mar 1996
Firstpage :
569
Abstract :
Presents a feedback control algorithm for ATM congestion control in which source rates are adjusted according to VC queue lengths at intermediate nodes along the path. The goal is to “fill in” the residual bandwidth, without exceeding a specified queue threshold. In order to obtain this, we propose a simple and classical proportional controller, plus a Smith predictor to overcome instabilities due to large propagation delays, as well as to avoid cell loss. We propose an effective EPRCA implementation in which each source computes its input rate based on the maximum VC queue length along the path. Theoretical and experimental results show that high throughput is achieved even with queue sizes independent of the round trip delay
Keywords :
asynchronous transfer mode; channel capacity; discrete time systems; feedback; predictive control; queueing theory; telecommunication congestion control; ATM rate based congestion control; EPRCA implementation; Smith predictor; VC queue lengths; cell loss; discrete time rate based control; feedback control algorithm; input rate; instabilities; intermediate nodes; large propagation delays; proportional controller; residual bandwidth; source rates; throughput; Bandwidth; Communication system traffic control; Computer science; Delay; Feedback control; Proportional control; Queueing analysis; Stability; Traffic control; Virtual colonoscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM '96. Fifteenth Annual Joint Conference of the IEEE Computer Societies. Networking the Next Generation. Proceedings IEEE
Conference_Location :
San Francisco, CA
ISSN :
0743-166X
Print_ISBN :
0-8186-7293-5
Type :
conf
DOI :
10.1109/INFCOM.1996.493350
Filename :
493350
Link To Document :
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