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Usage of Pseudo-estimator LAD and SARIMA Models for Network Traffic Prediction: Case Studies

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 291))

Abstract

This article focuses on the application of SARIMA models and Last Absolute Deviation pseudo-estimator in Auto Regression models of network traffic for various types of network protocols in sample computer networks. The models are used to build predicted patterns of traffic.

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© 2012 Springer-Verlag Berlin Heidelberg

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Szmit, M., Szmit, A. (2012). Usage of Pseudo-estimator LAD and SARIMA Models for Network Traffic Prediction: Case Studies. In: Kwiecień, A., Gaj, P., Stera, P. (eds) Computer Networks. CN 2012. Communications in Computer and Information Science, vol 291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31217-5_25

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  • DOI: https://doi.org/10.1007/978-3-642-31217-5_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31216-8

  • Online ISBN: 978-3-642-31217-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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