Intelligent Management for Integrated Information Networks

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In order to achieve the integration of traffic streams from multimedia sources in information networks, we have carried out theoretical joint reseach with world-wide leading experts in the field of telecommunication networkd. The research group from Japan consisting of professors from Kyoto University, Osaka University, Nara Advanced Institute of Technology have worked together with the professors from Columbia University, California University, University of Mettalurgy and Mining, Krakow, and INRIA.First, in order to clarify the quality of service in these information networks such as B-ISDN,ATM (Asynchronous Transfer Mode) networks, FDDI (Fiber Distrbuted Data Interface), we have developped mathematical models and analytical techniques for the models as well as intelligent management schemes for these information networks. Specific topics and results are as follows.・We have developped a traffic model to describe the birstiness nature and correlation in cell arriving streams and analy … More zed the model to derive the cell loss probability and the cell transmission delay distribution.・We have carried out the basic study on the knowledge discovery for network management purpose from a huge amount of traffic data collected through RMON (Remote Network Monitoring) and saved in MIB (Management Information Base).・We have developped a mathematical model for ATM swtching node which performs a key element for future high speed information networks. The model is a discrete time queue with finite buffer and cells arrive according to a semi-Markov process. In order to clarify the fundamental characteristics of ATM nodes, we have analyzed the model to derive the individual cell loss probability, the successive cell loss probability, the probability distributions of the duration of cell loss period and interdeparture time.・We have developped a mathematical model for moving picture traffic. Based on the model we have also proposed a mathematical method to generate a correlated cell stream for simulation purpose and analyzed the model to derive the cell loss probability. Less