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An Architecture of a Wavelet Based Approach for the Approximate Querying of Huge Sets of Data in the Telecommunication Environment

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3681))

  • 1521 Accesses

Abstract

Third generation mobile networks were designed to satisfy raising requests of performance, reliability and availability on behalf of customers all over the world. These networks have a new architecture where new Network Entities carry out complex functionalities and can serve many calls at the time. In order to grant high efficiency and the best performance of the network, such a complex scenario must be monitored and controlled by a certain number of Operation & Maintenance Centres (OMCs). Typically, these centres pose queries to the underlying DBMS that require complex operations over Gigabytes or Terabytes of disk-resident data, and thus, take a very long time to execute to completion and produce exact answers. Due to the exploratory nature of these applications, an exact answer may not be required, and a user may in fact prefer a fast, approximate answer. In this paper we propose an architecture for approximate query processing to be integrated in the OTS architecture of Siemens Mobile S.p.A. The main purpose of this paper is to propose a practical application of wavelet-based synopses techniques in order to improve the performances of the management system of real telecommunication network.

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Author information

Authors and Affiliations

  1. Dipartimento di Tecnologie dell’Informazione, Università degli Studi di Milano, via Bramante 65, 26013, Crema (CR), Italy

    Ernesto Damiani & Stefania Marrara

  2. Siemens Mobile Communications S.p.A., Via Monfalcone 1, Cinisello Balsamo, 20092, MI, Italy

    Salvatore Reale & Massimiliano Torregiani

Authors
  1. Ernesto Damiani
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  2. Stefania Marrara
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  3. Salvatore Reale
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  4. Massimiliano Torregiani
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, Moulsecoomb, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Damiani, E., Marrara, S., Reale, S., Torregiani, M. (2005). An Architecture of a Wavelet Based Approach for the Approximate Querying of Huge Sets of Data in the Telecommunication Environment. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552413_155

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  • DOI: https://doi.org/10.1007/11552413_155

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28894-7

  • Online ISBN: 978-3-540-31983-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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