Abstract
The concept of self-managing of autonomic networks is a paradigm shift from today’s management models, aiming at enabling networked nodes to self manage their behaviour within the constrains of the operator’s policies and objectives. The incorporation of the autonomicity concept to communications systems makes necessary the development of extensible context models. These enable the efficient representation of available information, needed for handling and distributing it. In this chapter, we focus on increasing context awareness towards the reduction of complexity in the management of multiple mechanisms realised in autonomic networks, giving special attention in managing, maintaining and exploiting autonomic entities in a unified way. An ontology is proposed that complies with the principles of a recently introduced Reference Model for autonomic network engineering/self-management within node and network architectures dubbed: the Generic Autonomic Network Architecture (GANA), which aims to identify autonomic behaviours realised via hierarchical control loops among self-managing elements.
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Acknowledgements
This publication is based on work carried out and funded under the framework of the European Commission ICT/FP7 project EFIPSANS (http://www.efipsans.org). The authors wish to thank all the collaborators in EFIPSANS for their efforts and support for completing this work.
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Zafeiropoulos, A., Liakopoulos, A. (2011). Context Awareness in Autonomic Heterogeneous Environments. In: Davoli, F., Meyer, N., Pugliese, R., Zappatore, S. (eds) Remote Instrumentation Services on the e-Infrastructure. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-5574-6_12
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DOI: https://doi.org/10.1007/978-1-4419-5574-6_12
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