Abstract
It has been reported that high-speed communication network traffic exhibits both long-range dependence (LRD) and burstiness, which posed new challenges in network engineering. While many models have been studied in capturing the traffic LRD, they are not capable of capturing efficiently the traffic impulsiveness. It is desirable to develop a model that can capture both LRD and burstiness. In this letter, we propose a truncated α-stable LRD process model for this purpose, which can characterize both LRD and burstiness accurately. A procedure is developed further to estimate the model parameters from real traffic. Simulations demonstrate that our proposed model has a higher accuracy compared to existing models and is flexible in capturing the characteristics of high-speed network traffic.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Bai, L., Guan, W., Chen, C., He, J., Wang, R. (2012). Modeling High-Speed Network Traffic with Truncated α-Stable Processes. In: Zhang, Y. (eds) Future Communication, Computing, Control and Management. Lecture Notes in Electrical Engineering, vol 141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27311-7_80
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DOI: https://doi.org/10.1007/978-3-642-27311-7_80
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27310-0
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