On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Traffic Engineering from a Fiber To Service Area Access Network
EUROMICRO '05 Proceedings of the 31st EUROMICRO Conference on Software Engineering and Advanced Applications
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In general, the traffic characteristics of the individual applications that constitute the aggregate traffic on a network can be important for capacity engineering. In this paper, we demonstrate, based on mathematical analysis, the value of application-specific measurements, even when there is no service differentiation. Specifically, under certain assumptions, we obtain the result that engineering errors occur when traffic characteristics of individual applications are ignored, and that the errors are in the direction of under-engineering. The assumptions are that the individual applications can be modeled adequately as Fractional Brownian Motions and that measurements are available only at relatively coarse time scales (as is common presently). The results in this paper emphasize the value of collecting fine-grained traffic measurements.