An architecture of a wavelet based approach for the approximate querying of huge sets of data in the telecommunication environment

Ernesto Damiani, Stefania Marrara, Salvatore Reale, Massimiliano Torregiani

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

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.

Original languageBritish English
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
PublisherSpringer Verlag
Pages1088-1093
Number of pages6
ISBN (Print)3540288945, 9783540288947
DOIs
StatePublished - 2005
Event9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, Australia
Duration: 14 Sep 200516 Sep 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3681 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
Country/TerritoryAustralia
CityMelbourne
Period14/09/0516/09/05

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