Enterprise Thinking for Self-aware Systems
Autor: | Peter Bernus, Pat Turner, Ovidiu Noran |
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Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
030103 biophysics Process management business.industry Computer science Context (language use) 02 engineering and technology 03 medical and health sciences Core (game theory) Control and Systems Engineering 0202 electrical engineering electronic engineering information engineering Self aware 020201 artificial intelligence & image processing Architecture Internet of Things business Set (psychology) |
Zdroj: | IFAC-PapersOnLine. 51:782-789 |
ISSN: | 2405-8963 |
DOI: | 10.1016/j.ifacol.2018.08.414 |
Popis: | The paper aims to provide high-level guidance for architects of cyber-physical enterprises. We propose that interactions within such systems should be largely self-determined, based on system self-awareness and dynamic re-configuration, with the architecture evolving based on a set of foundational principles, rather than being pre-defined by an external designer. We investigate the suitability of typical development life cycles and identify architectural challenges in the context of dynamic cyber-physical systems that utilize the power of the Internet of Things. Desired systemic attributes are defined, which are necessary for making suitable core architectural choices. The application of the findings is exemplified through a case study, a synthesis of issues, and implications for further research. |
Databáze: | OpenAIRE |
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