Authors:
Andreas Hanemann
1
;
David Schmitz
1
;
Patricia Marcu
2
and
Martin Sailer
2
Affiliations:
1
Munich Network Management Team, Leibniz Supercomputing Center, Germany
;
2
Munich Network Management Team, University of Munich (LMU), Germany
Keyword(s):
Dependency modeling, service management, event correlation, impact analysis.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Acquisition
;
Knowledge Engineering and Ontology Development
;
Knowledge Management
;
Knowledge Representation
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Society, e-Business and e-Government
;
Symbolic Systems
;
Web Information Systems and Technologies
Abstract:
The provisioning of IT services is often based on a variety of resources and underlying services. To deal with this complexity the dependencies between these elements have to be well-known. In particular, dependencies are needed for tracking a failure in a higher-level service being offered to customers down to the provisioning infrastructure. Another usage of dependencies is the impact estimation of an assumed or actual resource failure onto the services to allow for decision making about appropriate measures. Starting from a set of requirements an analysis of the state-of-the-art shows the contributions and limitations of existing research approaches and industry tools for a configuration management solution with respect to the dependencies. To improve the current situation a methodology is proposed to model dependencies for given service provisioning scenarios. The proposed dependency modeling is part of a larger solution for an overall service management information repository.