Towards Self-Learning Adaptive Scheduling for ATM
نویسندگان
چکیده
In this paper we discuss ongoing efforts at Scientific Systems towards the development of e$ective strategies for traf ic management of ATM networks using SelfLearning Adaptive (SLA) techniques. We extended our previous SLA techniques to bursty trafic patterns and show how an approximation to SLA, called proportional feedback, can be used to manage real-time variable bit rate ATM trafic. Finally, we present results on the dynamic allocation of bandwidth in order to eficiently multiplex several variable rate MPEG-1 streams over a constant-rate link.
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