Study on Call Admission Control in ATM Networks Using a Hybrid Neural Network.

하이브리드형 신경망을 이용한 ATM망에서의 호 수락제어에 관한 연구

  • 김성진 (전남대학교 전자공학과) ;
  • 서현승 (전남대학교 전자공학과) ;
  • 백종일 (전남대학교 전자공학과) ;
  • 김영철 (전남대학교 전자공학과)
  • Published : 1999.06.01

Abstract

In this paper, a new real-time neural network connection admission controller is proposed. The proposed controller measures traffic flows, cell loss rate and cell delay periodically each classes. The Neural network learns the relation between those measured information and service quality by real-time. Also the proposed controller uses the DWRR multiplexer with buffer dedicated to every traffic source in order to measure the delay that cells experience in buffer. Experimental result shows that the proposed method can control effectively heterogeneous traffic sources with diverse QoS requirement.

Keywords