Although new high-bandwidth network technologies are being introduced and widely deployed, asynchronous transfer mode (ATM) is still considered one of the most important network technologies currently in use. A number of ATM switch architectures have been proposed in the literature. However, industry has shown that is better to use the well-known shared-medium technique in the design of these ATM switches. In this paper, four variations of a new distributed scheme are proposed for the arbitration of a shared bus of an ATM switch. These schemes are based on learning automata. By taking advantage of the bursty nature of ATM traffic, the new arbitration scheme demonstrates superb performance compared to the time division multiple access (TDMA) scheme.

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Altering the internal structure of an ATM switch fabric, based on the correlation among ports, can be proved to be advantageous in terms of performance, especially in LAN or campus ATM switches, where we witness stronger traffic correlation. Such reconfiguration can be easily performed in the optical domain, using simple optical elements. We prove the performance improvement, by applying data collected from a campus production ATM switch onto our proposed architecture.

AbsImcfShared-medium ATM switches are favored by the industry among other families of ATM switches. In this paper, four variations of a new distributed scheme are proposed for the arbitration of a shared bus of an ATM switch. The proposed bus arbitration schemes are based on learning automata. Taldng advantage of the bursty nature of ATM traffic, the new arbitration scheme shows a superb performance compared to the time division multiple a c m g TDMA, scheme.