Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/s10270-012-0307-3 | Software and Systems Modeling (SoSyM) |
Keywords | Field | DocType |
metamodel,noisy-or,ocl,system quality analysis,systems availability,service availability,enterprise architecture,archimate,downtime,information systems | Enterprise architecture,Software engineering,Systems engineering,Computer science,RM-ODP,Architecture framework,Enterprise information system,Enterprise architecture framework,View model,Enterprise architecture management,Service-oriented modeling | Journal |
Volume | Issue | ISSN |
13 | 4 | 1619-1374 |
Citations | PageRank | References |
11 | 0.60 | 30 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ulrik Franke | 1 | 309 | 27.06 |
| Pontus Johnson | 2 | 788 | 55.88 |
| Johan König | 3 | 84 | 5.37 |