Title :
Towards self-learning adaptive scheduling for ATM networks
Author :
Mehra, R.K. ; Ravichandran, B. ; Cabrera, J.B.D. ; Greve, D.N. ; Sutton, R.S.
Author_Institution :
Scientific Syst. Co. Inc., Woburn, MA, USA
Abstract :
We discuss ongoing efforts at Scientific Systems towards the development of effective strategies for traffic management of ATM networks using self-learning adaptive (SLA) techniques. We extended our previous SLA techniques to bursty traffic patterns and show how an approximation to SLA, called proportional feedback, can be used to manage real-time variable bit rate ATM traffic. Finally, we present results on the dynamic allocation of bandwidth in order to efficiently multiplex several variable rate MPEG-1 streams over a constant-rate link
Keywords :
adaptive systems; asynchronous transfer mode; buffer storage; feedback; queueing theory; scheduling; telecommunication congestion control; telecommunication network management; telecommunication traffic; unsupervised learning; visual communication; ATM networks; Scientific Systems; approximation; buffer occupancy; bursty traffic patterns; constant-rate link; dynamic bandwidth allocation; multiplexing; proportional feedback; queue scheduling; real-time variable bit rate traffic; self-learning adaptive scheduling; traffic management; variable rate MPEG-1 streams; video traffic; Adaptive scheduling; Asynchronous transfer mode; Bandwidth; Buffer storage; Control systems; Learning; Optimal control; Stochastic processes; Telecommunication traffic; Traffic control;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.657146
