Development of a method for the experimental estimation of multimedia data flow rate in a computer network

Abstract

We have developed a method for the experimental estimation of rate of multimedia data stream in a computer network based on the methods of mathematical statistics. The method, in contrast to the existing ones, is based on considering the rate of multimedia data stream as a random variable that obeys the normal distribution law.When designing computer networks, in order to estimate the required throughput, mathematical streaming traffic models are applied. Such an approach is justified when the constraints of mathematical models are met, such as stationarity, ordinarity, and the absence of aftereffect for the Poisson stream of packets.Under actual conditions, estimates for characteristics of data flow, derived using existing models, may prove to be too conservative as a result of failure to comply with conditions of stationarity of the packet stream.An alternative way for solving a given task is the development of a statistical experimental method for estimating the rate of multimedia data stream in a computer network. The proposed method makes it possible to derive the values of mathematical expectation and a standard deviation in data transmission rate, as well as to estimate consistency of the hypothesis about a normal character of the distribution law of multimedia data flow rate.The experimental estimates are given for the multimedia data stream rate in a computer network at different values of resolution and frame rate of the video. These results showed that the experimental estimates exceed analytical data by 3...20 %.The values of multimedia data flow rate estimates, acquired using the proposed method, could be used to estimate the load of segments in the designed computer network, as well as to explore the throughput of segments in the existing computer network.