대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)
- 대한전자공학회 1998년도 하계종합학술대회논문집
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- Pages.126-129
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- 1998
트래픽 손실율 예측을 통한 신경망 UPC 알고리즘에 관한 연구
Study on a Neural Network UPC Algorithm Using Traffic Loss Rate Prediction
초록
In order to control the flow of traffics in ATM networks and optimize the usage of network resources, an efficient control mechanism is necessary to cope with congestion and prevent the degradation of network performance caused by congestion. This paper proposes a new UPC(Usage Parameter Control) mechanism that varies the token generation rate and the buffer threshold of leaky bucket by using a Neural Network controller observing input buffers and token pools, thus achieving the improvement of performance. Simulation results show that the proposed adaptive algorithm uses of network resources efficiently and satisfies QoS for the various kinds of traffics.
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