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Optimal hop-by-hop flow control in computer networks

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2 Author(s)
Rosberg, Z. ; IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA ; Gopal, I.S.

The problem of hop-by-hop flow control in a computer network is formulated as a Markov decision process with a cost function composed of the delay of the messages and the buffer constraints. The optimal control is shown to be a linear truncated function of the state and the explicit form is found when the arrival process of the messages is a Bernoulli process. For a renewal arrival process, the long-rnn average cost of any policy with a linear truncated structure is expressed by a set of linear equations.

Published in:

Automatic Control, IEEE Transactions on  (Volume:31 ,  Issue: 9 )

Date of Publication:

Sep 1986

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