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Decision Management for Micro-Granular Digital Architecture
Jönköping University, School of Engineering, JTH, Computer Science and Informatics. (Information Engineering)
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2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

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 micro-granular 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.

Place, publisher, year, edition, pages
IEEE, 2017. p. 29-38
Series
IEEE International Enterprise Distributed Object Computing Workshop (EDOCW), ISSN 2325-6605
National Category
Information Systems
Identifiers
URN: urn:nbn:se:hj:diva-38648DOI: 10.1109/EDOCW.2017.14OAI: oai:DiVA.org:hj-38648DiVA, id: diva2:1177970
Conference
EDOC Workshops 2017, Quebec City, QC, Canada, October 10-13, 2017
Available from: 2018-01-26 Created: 2018-01-26 Last updated: 2018-09-11Bibliographically approved

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