Towards Living Landscape Models: Automated Integration of Infrastructure Cloud in Enterprise Architecture Management

Farwick, Matthias; Agreiter, Berthold; Breu, Ruth; Häring, Matthias; Voges, Kevin E.; Hanschke, Inge

doi:10.1109/cloud.2010.20

Cited by 11 publications

(4 citation statements)

References 5 publications

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“…EA and Cloud Relationship between EA and cloud computing and potential synergy between them Farwick et al, 205 Mahmood, 206 Raj and Periasamy 207 (0.9%)…”

Section: Automationmentioning

confidence: 99%

“…[216][217][218]302 EA and Cloud topic includes all publications discussing the relationship between EA and cloud computing and potential synergy between them. [205][206][207]303 EA and ITIL topic includes all publications discussing the relationship and potential synergy between EA, IT infrastructure library (ITIL) and IT service management (ITSM) in general. [210][211][212]304,305 EA and Outsourcing topic includes all publications discussing the relationship and interaction between EA and IT outsourcing.…”

Section: Ea: What Did We Study?mentioning

confidence: 99%

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Enterprise Architecture: What Did We Study?

Kotusev

2017

Int. J. Coop. Info. Syst.

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Enterprise architecture (EA) is a description of an enterprise from an integrated business and IT perspective intended to improve business and IT alignment, and is used in the majority of large companies. However, despite that EA was established as an independent discipline long ago, a commonly accepted “big picture” in EA research is still missing. As a result, the scope of the EA discipline is vague, the extent of diversity in EA publications is poorly understood and the progression of the EA research stream over time is unclear. In this paper I conduct a comprehensive EA literature review covering 1075 publications aiming to structure, clarify and consolidate the whole EA research stream. I analyze the distribution of the EA research stream by time, source, research methodology and attitude, code all the issues discussed in EA publications into 42 narrow EA-related topics and 11 broader themes, establish the conceptual relationship between them and present a picture of the EA discipline “on a page”. Moreover, I classify all EA-related topics into four categories according to their lifecycles helping future EA researchers to better understand the evolution of the EA discipline and make the maximum contribution to it.

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“…EA and Cloud Relationship between EA and cloud computing and potential synergy between them Farwick et al, 205 Mahmood, 206 Raj and Periasamy 207 (0.9%)…”

Section: Automationmentioning

confidence: 99%

Section: Ea: What Did We Study?mentioning

confidence: 99%

Enterprise Architecture: What Did We Study?

Kotusev

2017

Int. J. Coop. Info. Syst.

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“…On the side of research literature we describe a process for how information from infrastructure cloud environments can be integrated into enterprise architecture models in [23]. In addition, we identified three other research papers which are closely related to the work in this publication.…”

Section: Related Workmentioning

confidence: 97%

Automation Processes for Enterprise Architecture Management

Farwick

Agreiter

Breu

et al. 2011

2011 IEEE 15th International Enterprise Distributed Object Computing Conference Workshops

Self Cite

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Creating and maintaining an enterprise architecture model that is both up-to-date and accurate is a difficult task due to the size and complexity of the models and the dispersed nature of EA information in organizations. In current EA maintenance processes, the models are maintained manually with only little automation, which is a time consuming task. Literature from research and practice has identified this challenge, however only few scientific publications actually address the issue of EA model maintenance and its automation. In our research effort on Living Models, we work towards solutions for a closer connection between EA models and what they represent in the real world. In this article we present (semi-)automated processes for maintaining enterprise architecture models by gathering information from both human input and technical interfaces and discuss implementation issues for realizing the processes in practice. This work is one of the first steps in the direction of minimizing manual work for EAM by automation and increasing EA data quality attributes such as consistency and actuality.

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“…The commonalities and differences to our approach are summarized in Table 1. Farwick et al [7] automatically integrate various runtime information of the cloud infrastructure into the open-source EAM tool Iteraplan. The automatically integrated information is synchronized with a project management tool to distinguish between planned and unplanned changes of the cloud infrastructure.…”

Section: Literature Study and Related Workmentioning

confidence: 99%

A Machine Learning Based Approach to Application Landscape Documentation

Landthaler

Uludağ

Bondel

et al. 2018

Lecture Notes in Business Information Processing

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In the era of digitalization, IT landscapes keep growing along with complexity and dependencies. This amplifies the need to determine the current elements of an IT landscape for the management and planning of IT landscapes as well as for failure analysis. The field of enterprise architecture documentation sought for more than a decade for solutions to minimize the manual effort to build enterprise architecture models or automation. We summarize the approaches presented in the last decade in a literature survey. Moreover, we present a novel, machine-learning based approach to detect and to identify applications in an IT landscape.

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Towards Living Landscape Models: Automated Integration of Infrastructure Cloud in Enterprise Architecture Management

Cited by 11 publications

References 5 publications

Enterprise Architecture: What Did We Study?

Enterprise Architecture: What Did We Study?

Automation Processes for Enterprise Architecture Management

A Machine Learning Based Approach to Application Landscape Documentation

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