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Proceedings ArticleDOI

Progress in the application of optimal control theory to dynamic routing in data communication networks

Franklin H. Moss, +1 more
- Vol. 15, Iss: 15, pp 954-956
TLDR
This paper describes an approach for determining the feedback solution when all the inputs to the network are constant in time, and finds that the approach has some appealing simplifying properties for networks which have only a single destination.
Abstract
In [1] Segall introduces a state space model and associated optimal control problem for dynamic routing of messages in a data communication network. The optimal control problem is completely linear with state and control variable inequality constraints. In this paper we report on progress in solving the optimal control problem for a feed-back solution. In particular, we describe an approach for determining the feedback solution when all the inputs to the network are constant in time. For networks which have only a single destination (multiple sources) it is found that the approach has some appealing simplifying properties. The details underlying the approach described here are presented in Moss [2].

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Citations
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The Design of Distributed Computer Control Systems

TL;DR: A general view of the problems that arise in the design of distributed computer control systems and some of the present approaches to solve them are presented.
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Stochastic regulation of queues in data networks

TL;DR: A new class of routing policies for the regulation of queue lengths at all nodes throughout a data network in the presence of congestion caused by heavy input traffic is developed via a feedback algorithm which minimizes the mean-square queueing error.
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