Abstract
This paper presents research on network flow behavior by adopting some new theories and tools. Firstly, the attractors of the network flow time sequence are reconstructed. Secondly, we find and classify four kinds of network flow with outburst character in a LAN, and study their multifractal spectrums in their reconstruction phase space. These effective micro parameters of the network traffic can be effectively exploited for the controlling and modeling of the network behaviors and the recognizing characterizes among the difference outburst traffic models.
Supported by the National Key Foundational R&D Project(973) under Grant No. G1999032707, the National Natural Science Foundation of China under Grant No. 60135010 and No. 60073008, and the State Key Laboratory Foundation of Intelligence Technology and System, Tsinghua University.
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Liu, D., Shuai, D. (2004). Multifractal Characteristic Quantities of Network Traffic Models. In: Li, M., Sun, XH., Deng, Q., Ni, J. (eds) Grid and Cooperative Computing. GCC 2003. Lecture Notes in Computer Science, vol 3033. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24680-0_68
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DOI: https://doi.org/10.1007/978-3-540-24680-0_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21993-4
Online ISBN: 978-3-540-24680-0
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