An architecture framework for enterprise IT service availability analysis

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 m...

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Vydáno v:Software and systems modeling Ročník 13; číslo 4; s. 1417 - 1445
Hlavní autoři: Franke, Ulrik, Johnson, Pontus, König, Johan
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2014
Springer Nature B.V
Témata:
ArchiMate
Architecture
Assessments
Availability
Compilers
Computer programs
Computer Science
Downtime
Enterprise Architecture
Evolution
Information systems
Information Systems Applications (incl.Internet)
Interpreters
IT in Business
Mathematical models
Metamodel
Metamodels
Noisy-OR
OCL
Programming Languages
Programming Techniques
Service availability
Software Engineering
Software Engineering/Programming and Operating Systems
System quality analysis
Systems availability
Theme Section Paper
Enterprise Architecture
Service availability
Downtime
OCL
Systems availability
Noisy-OR
ArchiMate
System quality analysis
Metamodel
ISSN:1619-1366, 1619-1374, 1619-1374
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Shrnutí: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.
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ISSN:1619-1366
1619-1374
1619-1374
DOI:10.1007/s10270-012-0307-3