Initial approach toward self-configuration and self-optimization in IP networks

  • Authors:

  • Elyes Lehtihet;Hajer Derbel;Nazim Agoulmine;Yacine Ghamri-Doudane;Sven van der Meer

  • Affiliations:

  • Laboratoire de Réseaux et Systèmes Multimédia, Institut d’Informatique d’Entreprise and Université d’Evry-Val d’Essonne, Evry, France;Laboratoire de Réseaux et Systèmes Multimédia, Institut d’Informatique d’Entreprise and Université d’Evry-Val d’Essonne, Evry, France;Laboratoire de Réseaux et Systèmes Multimédia, Institut d’Informatique d’Entreprise and Université d’Evry-Val d’Essonne, Evry, France;Laboratoire de Réseaux et Systèmes Multimédia, Institut d’Informatique d’Entreprise and Université d’Evry-Val d’Essonne, Evry, France;Telecommunications Software & Systems Group, Waterford Institute of Technology, Waterford, Ireland

  • Venue:
  • MMNS'05 Proceedings of the 8th international conference on Management of Multimedia Networks and Services
  • Year:
  • 2005

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Abstract

The growing heterogeneity and scalability of Internet services has complicated, beyond human capabilities, the management of network devices. Therefore, a new paradigm called autonomic networking is being introduced to control, in an efficient and automatic manner, this complex environment. This approach aims to enhance network elements with capabilities that allow them to choose their own behavior for achieving high-level directives. This so called autonomic network element should be able to optimize its configuration, ensure its protection, detect/repair unpredicted conflicts between services requirements and coordinate its behavior with other network elements. In this paper, we present a research activity that investigates this new concept, and applies it to facilitate the configuration and the optimization of a multi-services IP network. This approach is a first step toward building a self-configured and self-optimized IP network that automatically supports the QoS requirements of heterogeneous applications without any external intervention. Different paradigms have been explored in order to model this behavior and to render network equipment autonomic. A laboratory prototype has been developed to highlight the autonomic behavior of the network to achieve heterogeneous QoS requirements of multimedia and data applications.