The project investigates methods for the design, automated orchestration and dynamic adaptation of software to enable its autonomous, efficient and secure execution in dynamic, heterogeneous, distributed device-edge-cloud environments, i.e., in multi-provider, multi-service, and multi-criteria scenarios, without relying on a global resource manager.
Key techniques to investigate towards a holistic solution include: (1) novel software design techniques for advanced run-time adaptivity, based on extended micro-service interfaces and workflows, including flexible specification of security and fault-tolerance requirements; (2) new techniques for runtime monitoring, analysis and automated modelling of key properties to support distributed dynamic orchestration and adaptivity; (3) new dynamic prediction techniques and a distributed dynamic orchestration and resource manager for the edge-cloud continuum that also manages autonomous migration; and (4) new techniques for cross-layer optimisation and automated analysis of trade-offs regarding quality of service, performance, energy usage, cost, security, and fault tolerance.
Four research groups with complementary expertise work together to develop and prototype generic and domain-specific techniques, and demonstrate their value in four different use cases in strategic domains for Swedish industry with software-intensive products: Computer networks and applications they enable; smart energy grids; aviation; and automotive.
This research project is financially supported by the Swedish Foundation for Strategic Research (SSF)
For more details, see ASTECC
