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Software and Systems Modeling
Erschienen in: Software and Systems Modeling 4/2014

01.10.2014 | Theme Section Paper

An architecture framework for enterprise IT service availability analysis

verfasst von: Ulrik Franke, Pontus Johnson, Johan König

Erschienen in: Software and Systems Modeling | Ausgabe 4/2014

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Abstract

This paper presents an integrated enterprise architecture framework for qualitative and quantitative modeling and assessment of enterprise IT service availability. While most previous work has either focused on formal availability methods such as fault trees or qualitative methods such as maturity models, this framework offers a combination. First, a modeling and assessment framework is described. In addition to metamodel classes, relationships and attributes suitable for availability modeling, the framework also features a formal computational model written in a probabilistic version of the object constraint language. The model is based on 14 systemic factors impacting service availability and also accounts for the structural features of the service architecture. Second, the framework is empirically tested in nine enterprise information system case studies. Based on an initial availability baseline and the annual evolution of the 14 factors of the model, annual availability predictions are made and compared with the actual outcomes as reported in SLA reports and system logs. The practical usefulness of the method is discussed based on the outcomes of a workshop conducted with the participating enterprises, and some directions for future research are offered.
Vorheriger Artikel Evaluating probabilistic models with uncertain model parameters
Nächster Artikel Colouring: execution, debug and analysis of QVT-relations transformations through coloured Petri nets

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Metadaten
Titel
An architecture framework for enterprise IT service availability analysis
verfasst von
Ulrik Franke
Pontus Johnson
Johan König
Publikationsdatum
01.10.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
Software and Systems Modeling / Ausgabe 4/2014
Print ISSN: 1619-1366
Elektronische ISSN: 1619-1374
DOI
https://doi.org/10.1007/s10270-012-0307-3

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