Abstract

networks had a separate deployment for each emerging service like Telephone networks, data networks and multimedia networks. In Integrated Services Network the packets are transmitted using efficient statistical multiplexing. In this paper, we develop and analyze a two-node communication network with dynamic bandwidth allocation having bulk arrivals. The performance of the statistical multiplexing is measured by approximating the arrival and the service process with Poisson process and the bulk size is uniform which is chosen such that several of the statistical characteristics of the communication network identically match with the Poisson process. Through mathematical modeling, the performance measures of the communication network like the joint probability generating function of the buffer size distribution, the average content of the buffers, the mean delays in transmission, the throughput of the nodes and utilization are derived explicitly under transient conditions. Through numerical studies, the sensitivity of the input parameters on the performance measures is also carried. It is observed that the dynamic bandwidth allocation strategy and bulk size distribution of the arrivals have significant effect on the performance measures. This network is much useful in satellite communications and Internet service providing, etc,

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