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Decentralized adaptive flow control in store-and-forward computer networks

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3 Author(s)
Tsu-Shuan Chang ; University of California, Davis, CA ; Yu-Chung Liao ; Lu, J.C.

A dynamic window mechanism for the end-to-end flow control in a store-and-forward computer network is proposed based upon a quasi-static model. Window size and time-out are adjusted periodically according to an estimated equivalent subnet channel capacity. Simulation results show that there is significant performance improvement by comparing the proposed scheme with the static one.

Published in:

Decision and Control, 1985 24th IEEE Conference on

Date of Conference:

11-13 Dec. 1985

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