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Adaptive enterprise architecture for digital transformation

  • The Internet of Things, enterprise social networks, adaptive case management, mobility systems, analytics for big data, and cloud services environments are emerging to support smart connected products and services and the digital transformation. Biological metaphors of living and adaptable ecosystems provide the logical foundation for self-optimizing and resilient run-time environments for intelligent business services and related distributed information systems with service-oriented enterprise architectures. We are investigating mechanisms for flexible adaptation and evolution for the next digital enterprise architecture systems in the context of the digital transformation. Our aim is to support flexibility and agile transformation for both business and related enterprise systems through adaptation and dynamical evolution of digital enterprise architectures. The present research paper investigates digital transformations of business and IT and integrates fundamental mappings between adaptable digital enterprise architectures and service-oriented information systems. We are putting a spotlight with the example domain – Internet of Things.

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Metadaten
Author of HS ReutlingenZimmermann, Alfred; Jugel, Dierk
DOI:https://doi.org/10.1007/978-3-319-33313-7_24
ISBN:978-3-319-33313-7
Erschienen in:Advances in service-oriented and cloud computing : workshops of ESOCC 2015, Taormina, Italy, September 15 - 17, 2015, revised selected papers. - (Communications in computer and information science ; 567)
Publisher:Springer
Place of publication:Cham
Editor:Antonio Celesti
Document Type:Conference proceeding
Language:English
Publication year:2016
Tag:Internet of Things; adaptable services and systems; architectural integration method; digital enterprise architecture; digital transformation
Page Number:12
First Page:308
Last Page:319
PPN:Im Katalog der Hochschule Reutlingen ansehen
DDC classes:004 Informatik
Open access?:Nein
Licence (German):License Logo  In Copyright - Urheberrechtlich geschützt