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AIDA aims to enable novel trustworthy data-driven real-time industrial IoT applications by building a holistic AI-driven Networking and Processing framework.

AIDA builds upon expertise of researchers from three research disciplines (Computer Networks, Distributed Systems and Software Testing) at ¹û¶³´«Ã½. Together with Swedish companies, we explore three critical research areas through separate sub-projects, which collectively aims to solve the overall question on how to enable trustworthy data driven real-time industrial IoT applications.

Sub-project 1: SDN control plane and robust configuration for time-sensitive networks

Focuses on the real-time networking aspects and solves the configuration challenge of Time-Sensitive Networking (TSN) by applying principles from Software Defined Networks and robust optimization to automate the process of network (re-)configuration considering the guarantees that such applications require.

Sub-project 2: Real-time performance monitoring and optimization of container-based edge services

Targets real-time performance monitoring and optimization of container-based edge services in order to make sure that end-to-end constraints are met.

Sub-project 3: Testing infrastructure for trustworthy data-driven IoT systems

Focuses on the trustworthiness of ML components in this context that, in turn, will assure the sustainability and evolvability of the data-driven decision making IoT systems.