On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
Self-Similar Network Traffic and Performance Evaluation
Self-Similar Network Traffic and Performance Evaluation
Self-Similar Processes in Telecommunications
Self-Similar Processes in Telecommunications
Wavelet analysis of long-range-dependent traffic
IEEE Transactions on Information Theory
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In the paper is investigated fractal and multifractal properties of the real network traffic, such as Ethernet, TCP, UDP and the simulated fractal (self-similarity) traffic based on the fractional Gaussian noise (FGN) process. The obtained results show that the modern network traffic may be better characterized by multifractal analysis, since this approach describes both local and global features of the process. The broad multifractal Legendre spectrum of TCP, UDP and Ethernet traffic indicates multifractal behavior, whereas the narrow Legendre spectrum of FGN process indicates loss of multifractality.