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Entropy-Based Reduction of Traffic Data

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1 Author(s)
Pescape, A. ; Dipt. di Informatica e Sistemistica, Univ. of Napoli "Federico II"

This letter proposes an entropy-based methodology to reduce large network traffic data sets obtained by measurements over real networks. The proposed off-line approach, based on the marginal utility concept, reveals interesting results when applied to real data captured over real networks: to show its applicability, results obtained with traffic traces from a popular network game, counter-strike, are presented

Published in:

Communications Letters, IEEE  (Volume:11 ,  Issue: 2 )