Mobile network traffic data compression by means of wavelet decomposition

Claudio A. Ardagna, Elisa Bernardoni, Ernesto Damiani, Salvatore Reale

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Third generation mobile networks rely on an architecture where a certain number of Operation and Maintenance Centers handle a large amount of information about the network behavior. In this scenario, the amount of traffic-related data may become so large that even straightforward processing tasks, such as off-line querying, become a serious challenge. In this paper we show how, by integrating different techniques for database performance improvement, we may efficiently compress databases containing hundreds of gigabytes of mobile network traffic data. Our application relies on a wavelet-based synopsis technique that strongly reduces database size and allows fast database access, while preserving query syntax and semantic, at the price of a bounded information loss. Our solution has been tested on data coming from the Chinese and Italian mobile networks.

Original languageBritish English
Title of host publication2008 2nd IEEE International Conference on Digital Ecosystems and Technologies, IEEE-DEST 2008
Pages274-280
Number of pages7
DOIs
StatePublished - 2008
Event2008 2nd IEEE International Conference on Digital Ecosystems and Technologies, IEEE-DEST 2008 - Phitsanulok, Thailand
Duration: 26 Feb 200829 Feb 2008

Publication series

Name2008 2nd IEEE International Conference on Digital Ecosystems and Technologies, IEEE-DEST 2008

Conference

Conference2008 2nd IEEE International Conference on Digital Ecosystems and Technologies, IEEE-DEST 2008
Country/TerritoryThailand
CityPhitsanulok
Period26/02/0829/02/08

Keywords

  • Data compression
  • Mobile networks
  • Wavelets

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