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Publikācija: Analysis of Self-Similar Traffic Parameters for Network Performance Improvement with Real-Time Discrete Wavelet Transform

Publication Type Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database
Funding for basic activity Unknown
Defending: ,
Publication language English (en)
Title in original language Analysis of Self-Similar Traffic Parameters for Network Performance Improvement with Real-Time Discrete Wavelet Transform
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Authors Elans Grabs
Ernests Pētersons
Keywords Discrete Wavelet Transform, Filter Banks, Hurst Parameter, Hurst Parameter Estimation
Abstract The main purpose of the present work is to estimate the Hurst parameter in real-time as a measure of network traffic self-similarity. There are many possible solutions for Hurst parameter estimation, but in this research the discrete wavelet transform approach has been used. The main reason is the possibility to calculate discrete wavelet transform in real-time for every input sample separately. There is no need to accumulate data and calculation can be made right away, which means that transformed data will be available faster for Hurst parameter estimation and processing load shall be distributed more evenly. The discrete wavelet transform provides other means for traffic as well, such as classification, anomaly detection, load prediction and so on. The Hurst parameter estimator algorithm has been proposed as well with algorithm diagram for software implementation. This algorithm has been implemented and its performance was tested and compared to regular discrete wavelet transform algorithm performance. The results show that the algorithm for estimating Hurst parameter is capable of performing estimation in real-time.
DOI: 10.1109/AIEEE.2015.7367288
Hyperlink: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7367288 
Reference Grabs, E., Pētersons, E. Analysis of Self-Similar Traffic Parameters for Network Performance Improvement with Real-Time Discrete Wavelet Transform. In: Advances in Information, Electronic and Electrical Engineering (AIEEE 2015) : Proceedings of the 2015 IEEE 3rd Workshop, Latvia, Riga, 13-14 November, 2015. Piscataway: IEEE, 2015, pp.49-54. ISBN 978-1-5090-1202-2. e-ISBN 978-1-5090-1201-5. Available from: doi:10.1109/AIEEE.2015.7367288
ID 21662