Abstract
Current network management systems have been impeded by a scarcity of open standards for interoperable management solutions. Information models have made progress in promoting interoperability of traditional “centralised” networks but have still to significantly address the proliferation of next generation networks such as autonomic networks. Such networks impose challenges which include distributed self-control and self-management. The goal of the Madeira project was to utilise novel technologies and methodologies, based on an underlying P2P paradigm, for a logically meshed, distributed Network Management System (NMS) that facilitates dynamic behaviour of transient network elements. In this paper, we describe a solution for a meta-model that attempts to capture the key concepts behind the task of network management of a mesh network. A case-study focusing on the fault management of such a network will be presented with the purpose of verifying the applicability of such a meta-model.
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Fahy, C. et al. (2007). Modelling Behaviour and Distribution for the Management of Next Generation Networks. In: Calisti, M., van der Meer, S., Strassner, J. (eds) Advanced Autonomic Networking and Communication. Whitestein Series in Software Agent Technologies and Autonomic Computing. Birkhäuser Basel. https://doi.org/10.1007/978-3-7643-8569-9_3
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DOI: https://doi.org/10.1007/978-3-7643-8569-9_3
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