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Enterprise Tomography: Maintenance and Root-Cause-Analysis of Federated ERP in Enterprise Clouds

Enterprise Tomography: Maintenance and Root-Cause-Analysis of Federated ERP in Enterprise Clouds
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Author(s): Jan Aalmink (University of Oldenburg, Germany), Timo von der Dovenmühle (University of Oldenburg, Germany) and Jorge Marx Gómez (University of Oldenburg, Germany)
Copyright: 2013
Pages: 21
Source title: Advancing Information Management through Semantic Web Concepts and Ontologies
Source Author(s)/Editor(s): Patricia Ordóñez de Pablos (Universidad de Oviedo, Spain), Héctor Oscar Nigro (Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina), Robert D. Tennyson (University of Minnesota, USA), Sandra Elizabeth Gonzalez Cisaro (Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina) and Waldemar Karwowski (University of Central Florida, USA)
DOI: 10.4018/978-1-4666-2494-8.ch007

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Abstract

Cloud Computing is finding its way into the architecture of current IT landscapes. The present chapter depicts an algorithm-based methodology supporting the Root-Cause-Analysis in the context of malfunctioning Federated ERP (FERP) software in Enterprise Clouds. The challenge is to standardize the error-finding procedure and increase the efficiency. For a given error symptom it is shown that the error location is approximated iteratively with help of generic operators in a semiautomatic manner. This approach of Semantic Debugging outperforms classical methods of Technical Debugging in efficiency regarding prerequisite knowledge and time consumption. Semantic integration and maintainability correlate strongly. The Delta-Operator enables the reconstruction of semantic FERP integration in the course of the error reproduction session. In combination with the Join-Operator, the defect approximation can be performed along the dependencies of semantic artifacts.

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