Entropy-Based Heavy Tailed Distribution Transformation for Network Traffic Analysis
Conference paper Feb 2008-Aug 2010
AIR FORCE RESEARCH LAB ROME NY INFORMATION DIRECTORATE
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In general, network traffic data has a heavy-tailed probability distribution. The Entropy-Based Heavy Tailed Distribution Transformation EHTDT has been developed to convert the heavy tailed network traffic data distribution into a transformed probability distribution. In practice, the entropy distribution of the transformed probability distribution exhibits a type of linearity that gives rise to an eigenstructure that allows the characterization of network traffic data to effectively lossily compress network traffic data via the Rate Controlled Eigen-Based Coding. The aforementioned eigenstructure is motivated by singular value decomposition theory. A very high compression ratio can be achieved by the proposed method. Results of applying the methods to real network traffic data network traffic data are presented.
- Computer Systems Management and Standards
- Radio Communications