On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Wide-area traffic: the failure of Poisson modeling
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
Estimating the heavy tail index from scaling properties
Methodology and Computing in Applied Probability
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
Tail probabilities for a multiplexer with self-similar traffic
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 3
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 3
Multiscale representation and estimation of fractal point processes
IEEE Transactions on Signal Processing
Self-similar processes in communications networks
IEEE Transactions on Information Theory
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A self-similar point process is developed by embedding a process with bursty behavior over timescales. This embedding is not arbitrary, but achieved through a model which itself has fractal patterns. This model decomposes the self-similar point process over its timescales in a manner that may be tractable for accurate characterization and control of packet traffic. The limiting behavior of the model is shown to possess the properties of a self-similar point process, namely, bursts of arrivals which have no (intrinsic) timescale. Furthermore, this model leads to efficient synthesis of such a process.