Lee Bae Ho, Han Seong Il, Weon Yong Kwan

The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 5, No. 2, pp. 415-427, Feb. 1998
10.3745/KIPSTE.1998.5.2.415,   PDF Download:

Abstract

B-ISDN network based on ATM technology using statistical multiplexing method supports various multimedia services. Because these multimedia services require both the quality of service and the bandwidth, ATM networks need the efficient traffic and congestion control methods to avoid congestion. Also, it is necssary to use statistical multiplexing method having flexibility for both supporting various services and maximizing the utilization of network resources. In this paper, after we compared and analyzed existing algorithm related to the traffic control methods, then we presented an ATM traffic control mechanism. It is focusing on connection admission control and cell multiplexing methods. Also, we considered the interfaces with other control mechanism. It is focusing on connection admission control and cell multiplexing methods. Also, we considered the interfaces with other control mechanisms such as usage parameter control, bandwidth prediction, and congestion control method. We proposed a novel ATM traffic control mechanism using the neural networks and fuzzy logic theory. We simulated the proposed traffic controller compared with the existing controllers. Simulation results showed that the proposed traffic controller outperform the existing controllers.

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