Title :
Entropy-Based Reduction of Traffic Data
Author :
Pescapè, Antonio
Author_Institution :
Dipt. di Informatica e Sistemistica, Univ. of Napoli "Federico II"
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 presented
Keywords :
entropy; telecommunication traffic; counter-strike; entropy-based reduction; marginal utility concept; network game; network traffic data set; off-line approach; real networks; Communication system operations and management; Communication system traffic; Computer errors; Data processing; Entropy; Helium; Information analysis; Performance analysis; Random variables; Telecommunication traffic;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2007.061068
