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A Requirements Based Approach for Automating Enterprise IT Architecture Modeling Using Multiple Data Sources
KTH, School of Electrical Engineering (EES), Electric power and energy systems. (System architecture and cyber security)ORCID iD: 0000-0003-1464-6163
KTH, School of Electrical Engineering (EES), Electric power and energy systems. (System architecture and cyber security)ORCID iD: 0000-0003-3089-3885
KTH, School of Electrical Engineering (EES), Electric power and energy systems. (System architecture and cyber security)ORCID iD: 0000-0003-3922-9606
KTH, School of Electrical Engineering (EES), Electric power and energy systems. (System architecture and cyber security)ORCID iD: 0000-0001-7386-7471
2015 (English)In: 2015 IEEE 19th International Enterprise Distributed Object Computing Workshop (EDOCW), Adelaide, SA, 2015, 79-87 p.Conference paper (Refereed)
Abstract [en]

Enterprise Architecture (EA) is an approach where models of an enterprise are used for decision support. An important part of EA is enterprise IT architecture. Creating models of both types can be a complex task. EA can be difficult to model due to unavailable business data, while in the case of enterprise IT architecture, there can be too much IT data available. Furthermore, there is a trend of a growing availability of data possibly useful for modeling. We call the process of making use of available data, automatic modeling. There have been previous attempts to achieve automatic model creation using a single source of data. Often, a single source of data is not enough to create the models required. In this paper we address automatic modeling when data from multiple heterogeneous sources are needed. The paper looks at the potential data sources, requirements that the data must meet and proposes a four-part approach. The approach is tested in a study using the Cyber Security Modeling Language in order to model a lab setup at KTH Royal Institute of Technology. The lab aims at mirroring a small power utility's IT setup. The paper demonstrates that it is possible to create timely and scalable enterprise IT architecture models from multiple sources, and that manual modeling and data quality related problems can be resolved using known data processing methods.

Place, publisher, year, edition, pages
Adelaide, SA, 2015. 79-87 p.
Series
, Enterprise Distributed Object Computing Workshop (EDOCW), 2015 IEEE 19th International
Keyword [en]
enterprise architecture, automatic data collection, model quality
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Information and Communication Technology
Identifiers
URN: urn:nbn:se:kth:diva-181864DOI: 10.1109/EDOCW.2015.33ISI: 000380478000011ScopusID: 2-s2.0-84964663592OAI: oai:DiVA.org:kth-181864DiVA: diva2:900893
Conference
Enterprise Distributed Object Computing (EDOC) International Conference 2015
Funder
EU, FP7, Seventh Framework Programme
Note

QC 20160226

Available from: 2016-02-05 Created: 2016-02-05 Last updated: 2016-08-30Bibliographically approved

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Välja, MargusLagerström, RobertEkstedt, MathiasKorman, Matus
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