Towards self-learning adaptive scheduling for ATM networks

被引：0

作者：

Mehra, RK ^{[1
]}

Ravichandran, B ^{[1
]}

Cabrera, JBD ^{[1
]}

Greve, DN ^{[1
]}

Sutton, RS ^{[1
]}

机构：

[1] Sci Syst Co Inc, Woburn, MA 01801 USA

来源：

PROCEEDINGS OF THE 36TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5 | 1997年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper 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.

引用

页码：2393 / 2398

页数：6

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