A framework for development of integrated intelligent knowledge for management of telecommunication networks

  • Authors:
  • Antonio Martín;Carlos León;Joaquín Luque;Iñigo Monedero

  • Affiliations:
  • Department of Electronics Technology, University of Seville, Escuela Superior de Ingeniería Informática, Avda. Reina Mercedes S/N, Spain;Department of Electronics Technology, University of Seville, Escuela Superior de Ingeniería Informática, Avda. Reina Mercedes S/N, Spain;Department of Electronics Technology, University of Seville, Escuela Superior de Ingeniería Informática, Avda. Reina Mercedes S/N, Spain;Department of Electronics Technology, University of Seville, Escuela Superior de Ingeniería Informática, Avda. Reina Mercedes S/N, Spain

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2012

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Abstract

The management of modern telecommunication networks is a complex and intensive task that requires the assimilation of vast amounts of information and knowledge management. The significance of management networks is growing, and more advanced techniques are needed to support these activities. It is necessary to develop new models that offer more possibilities. In this study, we present a new approach for distributed intelligent management networks. The goal of our study is the assignment and dispersed control of proper network resources, pertaining to hardware as well as software, to help operators manage their networks more effectively and also to promote reliability in network services. We propose a new paradigm where intelligent knowledge management is integrated into the conceptual repository of management information. This article presents a technique for the design and implementation of a distributed intelligent system that is designed through the normalization of knowledge management. Our study focuses on an intelligent framework and a language for formalizing knowledge management descriptions and combining them with an existing Open Systems Interconnection (OSI) management model. Further, this work outlines the development of an intelligent system named ScanEXP based on our proposed standard and describes the most important facets, advantages, and drawbacks that were found after prototyping our proposal.