Home // International Journal On Advances in Intelligent Systems, volume 5, numbers 3 and 4, 2012 // View article

Automated IT Management using Ontologies

Authors:
Andreas Textor
Fabian Meyer
Reinhold Kroeger

Keywords: ontology, IT Management, CIM, Bayesian network

Abstract:
For the management of IT systems, numerous models, protocols and tools have been developed. To achieve the long-term goal of comprehensive, highly automated IT management, the various sources of information need to be combined. As syntactic translation is often not sufficient, ontologies can be used to unambiguously and comprehensively model IT environments including management rules. In this paper, we present an approach that combines the domain model, rules, instance data (which represents real-world systems) into an ontology. As the basis for an IT management ontology, we convert the Common Information Model (CIM), a Distributed Management Task Force (DMTF) standard, into an OWL (Web Ontology Language) ontology. Moreover, probabilistic knowledge of the domain is modeled using Bayesian networks and integrated into the ontology. Furthermore, the approach describes a runtime system that merges monitoring data into the ontology and then uses a reasoner to evaluate management rules.

Pages: 291 to 301

Copyright: Copyright (c) to authors, 2012. Used with permission.

Publication date: December 31, 2012

Published in: journal

ISSN: 1942-2679