advanced integrated modelling environment for self-adaptive software systems (AIME)
Key Points
- DAIRNet Theme: Distributed Multi-Domain Networks
- University of South Australia, Lockheed Martin Australia, University of Wollongong and Griffith University
- Point of contact: Dr Matt Selway
Future battlespaces will require IT systems that can be rapidly reconfigured to meet the dynamic information demands of commanders and warfighters. IT systems that require extensive and human-implemented changes will be too slow to respond and will not provide information superiority. Also, very little has been done to date to address infrastructure agility, particularly IT infrastructure.
This project will conduct research to understand how the supporting data infrastructure must adapt, and in particular, self-adapt, to the rapidly changing needs of the battlespace, especially in heterogeneous environments. This requires the capability to accommodate and interoperate with newly provided services, changes in processes, and adaptation to changes in governing business rules.
The Advanced Integrated Modelling Environment (AIME) will support near real-time autonomous reconfiguration and self-adaptation of middleware frameworks in the context of similar scenarios that require coordination of complex systems, multiple actors, rapidly changing requirements, and uncertain environments. AIME will provide an integrated approach to modelling, monitoring and managing self-adaptive systems across multiple domains, consisting of an integrated set of components providing goal, decision, behaviour and system modelling capabilities supported by visualisation models to support autonomous goal-based reconfiguration.
The outcome of this project will be a system for the model-based development of self-adaptive, self-integrating software systems that can be applied to existing software frameworks meeting minimum criteria and can be used to monitor and manage those systems during run-time. If adopted by Defence, AIME would provide faster, more resilient and more agile information flows across ADF battlespaces.
publications
- Morgan, R, Pulawski, S, Selway, M, Mayer, W, Grossmann, G, Stumptner, M, . . . Kyprianou, R 2022, ‘Modeling Rates of Change and Aggregations in Runtime Goal Models’, Conceptual Modeling: 41st International Conference, ER 2022, Hyderabad, India, October 17–20, 2022, Proceedings, Springer-Verlag, pp. 397–412. DOI: 10.1007/978-3-031-17995-2_28
