Enterprise Architecture Management for the Internet of Things

Zimmermann, Alfred and Schmidt, Rainer and Sandkuhl, Kurt and Jugel, Dierk (2015) Enterprise Architecture Management for the Internet of Things. In: Digital Enterprise Computing (DEC 2015). Köllen Druck+Verlag GmbH, Bonn.

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The Internet of Things (IoT) fundamentally influences today's digital strategies with disruptive business operating models and fast changing markets. New business information sys- tems are integrating emerging Internet of Things infrastructures and components. With the huge diversity of Internet of Things technologies and products organizations have to leverage and ex- tend previous enterprise architecture efforts to enable business value by integrating the Internet of Things into their evolving Enterprise Architecture Management environments. Both architecture engineering and management of current enterprise architectures is complex and has to integrate beside the Internet of Things synergistic disciplines like EAM - Enterprise Architecture and Man- agement with disciplines like: services & cloud computing, semantic-based decision support through ontologies and knowledge-based systems, big data management, as well as mobility and collaboration networks. To provide adequate decision support for complex business/IT environ- ments, it is necessary to identify affected changes of Internet of Things environments and their related fast adapting architecture. We have to make transparent the impact of these changes over the integral landscape of affected EAM-capabilities, like directly and transitively impacted IoT- objects, business categories, processes, applications, services, platforms and infrastructures. The paper describes a new metamodel-based approach for integrating partial Internet of Things objects, which are semi-automatically federated into a holistic Enterprise Architecture Management envi- ronment.

Item Type: Book Section
Subjects: A General Works
Date Deposited: 26 Sep 2017 08:45
Last Modified: 16 Nov 2018 10:01
URI: http://eprints.win.informatik.uni-rostock.de/id/eprint/64

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