Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
Self-similarity and heavy tails: structural modeling of network traffic
A practical guide to heavy tails
On the relationship between file sizes, transport protocols, and self-similar network traffic
On the relationship between file sizes, transport protocols, and self-similar network traffic
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The problem of tastest finding the moments when the exponential parameter of the Pareto distribution is changed is solved by applying the method of cumulative sums. Analytical expressions for basic characteristics of the method—the average time of delay of the determination of the change-point and the average time between two “incorrect determinations”—are derived. An algorithm of detection of variations in the traffic in a computer network is developed.