Zimmermann, Alfred and Schmidt, Rainer and Sandkuhl, Kurt and Wißotzki, Matthias (2015) Digital Enterprise Architecture - Transformation for the Internet of Things. In: 19th IEEE International Enterprise Distributed Object Computing.
Full text not available from this repository.Abstract
Excellence in IT is both a driver and a key enabler of the digital transformation. The digital transformation changes the way we live, work, learn, communicate, and collaborate. The Internet of Things (IoT) fundamentally influences today's digital strategies with disruptive business operating models and fast changing markets. New business information systems 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 extend previous Enterprise Architecture efforts to enable business value by integrating Internet of Things architectures. Both architecture engineering and management of current information systems and business models are complex and currently integrating beside the Internet of Things synergistic subjects, like Enterprise Architecture in context with 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 environments, we have to make transparent the impact of business and IT changes over the integral landscape of affected architectural 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 Internet of Things architectural objects, which are semi-automatically federated into a holistic Digital Enterprise Architecture environment.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Subjects: | A General Works |
| Date Deposited: | 26 Sep 2017 08:45 |
| Last Modified: | 16 Nov 2018 10:02 |
| URI: | http://eprints.win.informatik.uni-rostock.de/id/eprint/85 |
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