Congestion control of ATM networks using a learning methodology

IEEE Conference on Control Applications - Proceedings

Volumn , Issue , 2001, Pages 135-140

  Jagannathan, S ^a   Tohmaz, A ^a  

^a University of Texas at San Antonio   (United States)

Author keywords

ABR service; ATM networks; Congestion control; Learning methodology

Indexed keywords

ASYNCHRONOUS TRANSFER MODE; CLOSED LOOP CONTROL SYSTEMS; COMPUTER SIMULATION; CONTROL SYSTEM SYNTHESIS; DISCRETE TIME CONTROL SYSTEMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; NONLINEAR CONTROL SYSTEMS; NUMERICAL ANALYSIS; QUALITY OF SERVICE; SYSTEM STABILITY;

AVAILABLE BIT RATE SERVICE; NONLINEAR DISCRETE TIME SYSTEM;

CONGESTION CONTROL (COMMUNICATION);

EID: 0035692122     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. An adaptive autonomous network congestion controller
2. Design of a fuzzy traffic controller for ATM networks
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6. Smith's principle for congestion control in high speed ATM networks
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9. Survey of traffic control schemes and protocols in ATM networks
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11. Adaptive algorithms for feedback-based flow control in high-speed, wide-area ATM networks
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13. Traffic rate control of ATM networks using neural networks
14. Adaptive congestion control and bandwidth estimation in high-speed networks