Intelligent Decision Technologies 2018 by Ireneusz Czarnowski Robert J. Howlett Lakhmi C. Jain & Ljubo Vlacic

Author:Ireneusz Czarnowski, Robert J. Howlett, Lakhmi C. Jain & Ljubo Vlacic
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham

4 Architectural Composition

Digital transformation [1, 6, 7] not only changes our personal lives but also has massive implications on the competitive landscape. To win in this new environment, established companies need to develop new digitized products and services quickly, interact across channels, analyse customer behaviour in real-time, and leverage digital processes. Digitization can lower entry barriers for new players but causing long-understood boundaries between sectors to become more ambiguous and permeable. The nature of digital assets disaggregates value chains, creating openings for focused, fast-moving competitors.

Adaptability for architecting open micro-granular systems like Internet of Things or Microservices is mostly concerned with heterogeneity, distribution, and volatility. It is a huge challenge to continuously integrate numerous dynamically growing open architectural models and metamodels from different sources into a consistent digital architecture. To address this problem, we are currently formalizing small-decentralized mini-metamodels, models, and data of architectural microstructures, like Microservices and IoT into DEA-Mini-Models (Digital Enterprise Architecture Mini Model).

In general, such DEA-Mini-Models [11] consists of partial DEA-Data, partial DEA-Models, and partial EA-Metamodel. Microservices are associated with DEA-Mini-Models and/or objects from the Internet of Things [3]. Our model structures (Fig. 2) are extensions of the Meta Object Facility (MOF) standard [25] of the Object Management Group (OMG).

Fig. 2.Structure of EA-mini-descriptions [13]

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