Network data management

We are working on methodologies and techniques to manage huge amounts of monitoring data (OSNs, p2p, high speed links, ...) from both active and passive approaches.

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Network data compression

We are developing a compressed representation technique for network monitoring data that provides:

• reduced memory footprint for stored data, trading off accuracy versus space occupation;
• a wide class of operations allowed directly on compressed data with no need for decompression and with reduced time complexity.

The research has been partially conducted during a summer internship by Mr. Giuseppe Aceto at DOCOMO Innovations Inc. (formerly Docomo Communications Laboratories USA), Palo Alto, CA.

Papers & Technical Reports

Giuseppe Aceto, Alessio Botta, Antonio Pescapè, Cedric Westphal, "An efficient storage technique for network monitoring data", IEEE International Workshop on Measurements & Networking (M&N 2011), Capri, Italy, October 2011.

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Network data reduction

We are working on an entropy-based methodology to reduce network traffic data which provides several advantages:

• there is no need to consider the entire data sets in the processing stage;
• allows to work off-line on reduced data.

Papers & Technical Reports

A. Pescapè, "Entropy-Based Reduction of Traffic Data", IEEE Communications Letters, pp. 191-193, Vol.11, No.2 - February 2007.

Alessio Botta, Alberto Dainotti, Antonio Pescapè, Giorgio Ventre, "Reducing Network Traffic Data Sets", 2007 IEEE International Conference on Communications (ICC 2007)

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If you are interested in collaborating with us or in opportunities in Traffic, please send an e-mail to Antonio Pescapè