TY - GEN
T1 - Towards simulation-supported enterprise architecture management
AU - Buckl, Sabine
AU - Matthes, Florian
AU - Renz, Wolfgang
AU - Schweda, Christian M.
AU - Sudeikat, Jan
PY - 2008
Y1 - 2008
N2 - Enterprise architecture management is based on a holistic view on the enterprise addressing business and IT aspects in an integrated manner. EA management is a process to manage the complexity of the overall architecture and to improve the alignment of business and IT. In order to achieve these goals, it is necessary but not sufficient to manage the static complexity that arises from dependencies between the elements of the EA, like goals, organizational units, business processes, business applications, and IT infrastructure elements. Performance, stability, and scalability can only be analyzed, modeled, and controlled, if static EA models are enriched by appropriate abstractions to capture the dynamic complexity of the EA understood as a socio-technical system of interacting (sub-)systems. This article identifies possible techniques to address dynamic complexity in EA. The potential benefits of system simulations are discussed and the derivation of apropriate simulation models is exemplified. A key observation is the fact that EA management is a iterative evolution process, where each iteration only changes a small fraction of the EA. It is therefore possible to automatically derive model parameters required for the simulation of the future architectures from an analysis of the dynamics of the current architecture.
AB - Enterprise architecture management is based on a holistic view on the enterprise addressing business and IT aspects in an integrated manner. EA management is a process to manage the complexity of the overall architecture and to improve the alignment of business and IT. In order to achieve these goals, it is necessary but not sufficient to manage the static complexity that arises from dependencies between the elements of the EA, like goals, organizational units, business processes, business applications, and IT infrastructure elements. Performance, stability, and scalability can only be analyzed, modeled, and controlled, if static EA models are enriched by appropriate abstractions to capture the dynamic complexity of the EA understood as a socio-technical system of interacting (sub-)systems. This article identifies possible techniques to address dynamic complexity in EA. The potential benefits of system simulations are discussed and the derivation of apropriate simulation models is exemplified. A key observation is the fact that EA management is a iterative evolution process, where each iteration only changes a small fraction of the EA. It is therefore possible to automatically derive model parameters required for the simulation of the future architectures from an analysis of the dynamics of the current architecture.
UR - http://www.scopus.com/inward/record.url?scp=84864679544&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84864679544
SN - 9783885792352
T3 - Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
SP - 131
EP - 145
BT - MobIS 2008 - Modellierung Betrieblicher Informationssysteme
T2 - Modellierung Betrieblicher Informationssysteme: Modellierung Zwischen SOA und Compliance Management, MobIS 2008 - Modeling Business Information Systems: Modeling Between SOA and Compliance Management, MobIS 2008
Y2 - 27 November 2008 through 28 November 2008
ER -