Decision Management for Micro-Granular Digital Architecture

Abstract

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.