Network traffic demand prediction with confidence

Mikhail Dashevskiy, Zhiyuan Luo

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Many network resource management solutions typically employ traffic prediction algorithms to improve the performance of a network. In this paper we extend a newly developed method for prediction with confidence to time series data and apply it to the network traffic demand prediction problem. We investigate the performance of the proposed algorithm on a number of publicly available network traffic demand datasets. The experimental results are very promising.
Original languageEnglish
Title of host publicationIEEE GLOBECOM 2008
Number of pages5
Publication statusPublished - 2008

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