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Decision management for micro-granular digital architecture

  • Digitization fosters the development of IT environments with many rather small structures, like Internet of Things (IoT), microservices, or mobility systems. They are needed to support flexible and agile digitized products and services. The goal is to create service-oriented enterprise architectures (EA) that are self optimizing and resilient. The present research paper investigates methods for decision-making concerning digitization architectures for Internet of Things and microservices. They are based on evolving enterprise architecture reference models and state of the art elements for architectural engineering for microgranular systems. Decision analytics in this field becomes increasingly complex and decision support, particularly for the development and evolution of sustainable enterprise architectures, is sorely needed. The challenging of the decision processes can be supported with in a more flexible and intuitive way by an architecture management cockpit.

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Metadaten
Name:Zimmermann, Alfred; Jugel, Dierk; Bogner, Justus
DOI:https://doi.org/10.1109/EDOCW.2017.14
Erschienen in:2017 IEEE 21st International Enterprise Distributed Object Computing Conference workshops - EDOCW 2017 : 10-13 October 2017, Quebec City, Quebec, Canada : proceedings
Publisher:IEEE
Place of publication:Piscataway, NJ
Editor:Sylvain Hallé
Document Type:Conference Proceeding
Language:English
Year of Publication:2017
Tag:Internet of Things; digital enterprise architecture; microservices architectures; multi-perspective decistion management; transformation
Pagenumber:10
First Page:29
Last Page:38
Dewey Decimal Classification:004 Informatik
Open Access:Nein
Licence (German):License Logo  Lizenzbedingungen IEEE