DTIC ADA528299: Entropy Based Heavy Tailed Distribution pdf

DTIC ADA528299: Entropy Based Heavy Tailed Distribution

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Description of the Book:

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

• Creator/s: Defense Technical Information Center
• Date: 8/1/2010
• Year: 2010
• Book Topics/Themes: DTIC Archive, , AIR FORCE RESEARCH LAB ROME NY INFORMATION DIRECTORATE, *COMMUNICATIONS TRAFFIC, *NETWORK ANALYSIS(MANAGEMENT), *EIGENVALUES, *EIGENVECTORS, *SIGNAL PROCESSING, DECOMPOSITION, ENTROPY, SYMPOSIA, COMPRESSION, PROBABILITY DISTRIBUTION FUNCTIONS

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