The overall idea of AIDOaRt is to efficiently support requirements, monitoring, modelling, coding, and testing activities as part of a continuous development in CPSs via AI-augmented automation. To this intent, AIDOaRt proposes the use of Model Driven Engineering (MDE) principles and techniques to provide a model-based framework offering proper methods and related tooling. This framework will enable the observation and analysis of collected data from both runtime and design time in order to provide dedicated AI-augmented solutions that will then be validated in concrete industrial cases involving complex CPSs.
Image rights: JKU Linz
Dynatrace is Project Partner of AIDOaRt.
Funded by: H2020-ECSEL-2020, Federal Ministry of Education, Science and Research
Duration: 04/2021 - 03/2024
Find out more here.
What are the key areas tackled as part of the AIDOaRt?
Independent research in the fields of transaction processing, query processing, cloud databases, similarity search and data extraction, distributed systems, stream processing and analysis, query optimization, new architectures and caching, or indexing and search.