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IEEE/ACM Transactions on Networking (TON)
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SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
Proof of a fundamental result in self-similar traffic modeling
ACM SIGCOMM Computer Communication Review
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Use of &agr;-stable self-similar stochastic processes for modeling traffic in broadband networks
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INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
An algorithm to detect TCP spurious timeouts and its application to operational UMTS/GPRS networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
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IEEE Transactions on Signal Processing
Wavelet analysis of long-range-dependent traffic
IEEE Transactions on Information Theory
A multifractal wavelet model with application to network traffic
IEEE Transactions on Information Theory
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This paper reports on the results of a scaling analysis of traffic traces captured at several Gn Interfaces of an opera-tional 3G network. Using the Abry Veitch test and Variance Time Plots we find that the analyzed traffic is characterized by a non self-similar process for small time scales and strong self-similarity for larger time scales. The reasons for the time scale dependency of traffic self similarity are analysed in detail. We find that for smaller time scales the packet arrival times are independent explaining the weak correlation of the data. For larger timescales the arrival of TCP connections in the UMTS network can be considered independent. This property is intuitive because the only link where TCP connections could influence themselves is the channel originating at the mobile terminal. As a further finding we observe that the cut off point between weak and strong correlation is around the mean RTT of TCP flows. Additionally, we propose a model which allows generating traffic similar to the measured UMTS traffic. The model contains only three parameters allowing to influence all observed changes in Log Diagram and Variance Time Plot. Comparing the output of the model with the real traffic traces we find that the model matches reality accurately.