Organisations such as hospitals and the public are increasingly relying on large computer\nnetworks to access information and to communicate multimedia-type data. To assess the effectiveness\nof these networks, the traffic parameters need to be analysed. Due to the quantity of the data\npackets, examining each packet�s transmission parameters is not practical, especially in real time.\nSampling techniques allow a subset of packets that accurately represents the original traffic to be\nexamined and they are thus important in evaluating the performance of multimedia networks.\nIn this study, an adaptive sampling technique based on regression and a fuzzy inference system was\ndeveloped. The technique dynamically updates the number of packets sampled by responding to\nthe traffic�s variations. Its performance was found to be superior to the conventional nonadaptive\nsampling methods.
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