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
Entropy-Based Reduction of Traffic Data / Pescape', Antonio. - In: IEEE COMMUNICATIONS LETTERS. - ISSN 1089-7798. - STAMPA. - 11:(2007), pp. 191-193. [10.1109/LCOMM.2007.061068]
Entropy-Based Reduction of Traffic Data
PESCAPE', ANTONIO
2007
Abstract
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 presentedFile in questo prodotto:
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