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doi:10.1016/0140-3664(94)90117-1 
Copyright © 1994 Published by Elsevier Science B.V.
Analysis of collision-avoidance star LANs
Received 2 April 1993;
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Abstract
We present a novel approach to the approximate modelling of symmetric systems where users' behaviours are highly dependent. The model follows the behaviour of a tagged user in an exact manner, and the rest of the users' behaviour is approximated by mimicking that of the tagged user at steady state using an iterative approach. The benefit of such an approach is demonstrated in the modelling of collision-avoidance star local area networks (CASLAN)—a multiple access local communication network based on an active star topology. We show that the proposed approach is capable of effectively modelling the behaviour of CASLANs as it captures the nodal dependency as well as network-parameter dependency. Results show that the model is very accurate compared to simulation results, and is more accurate than all previous CASLAN performance models.
Author Keywords: performance evaluation; Hubnet; LANs; systems modelling
