Authors:
Julien Boite
;
Gérard Nguengang
;
Maurice Israël
and
Vania Conan
Affiliation:
Thales Communications SA, France
Keyword(s):
Autonomic network management, Cognitive agents, Situated knowledge, OSGi, Jess, OWL.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Autonomous Systems
;
Distributed and Mobile Software Systems
;
Distributed Problem Solving
;
e-Business
;
Enterprise Engineering
;
Enterprise Information Systems
;
Enterprise Ontologies
;
Formal Methods
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation and Reasoning
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Ontologies
;
Simulation and Modeling
;
Software Engineering
;
Symbolic Systems
Abstract:
Communication networks are growing both in terms of size and complexity. Because of the huge amount of monitored data to analyse and correlate, the management task that relies mostly on human operators is becoming time-consuming, labour-intensive and costly. The centralized management paradigm adopted by current management systems is no longer suitable for such networks. A distributed management with more autonomy delegated to network devices is therefore paramount to master this complexity efficiently.Multi-agent systems characteristics fit the requirements that must be taken into account to integrate autonomicity in networks. This paper presents CONEMAF, a novel modular multi-agent platform for autonomic network management. CONEMAF is fully distributed, allows situated knowledge analysis and implements a cognitive cycle for autonomic management. Implemented on top of OSGi, the present release makes use of well-proven Java-based COTS. CONEMAF has been deployed on Linux routers and i
s demonstrated for autonomic routing in a wireless mesh network.
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