The DRUID-NET vision and challenges are published in MDPI Sensors Journal.
eDge computing ResoUrce allocatIon for Dynamic NETworks (DRUID-NET) is a three-year project under the CHIST-ERA programme. DRUID-NET aims to design and develop a new generation of workload estimators, performance models that efficiently capture the time-varying nature of IoT-based applications, dynamic networks, and edge computing infrastructure. Building on this framework, DRUID-NET aspires to develop novel resource allocation mechanisms that take explicitly into account service differentiation and context-awareness, and most importantly, provide formal guarantees for well-defined QoS/QoE metrics. Our research goes well beyond the state of the art also in the design of control algorithms for cyber-physical systems (CPS), by incorporating resource allocation mechanisms to the decision strategy itself. DRUID-NET project proposes a new generation of controllers, driven by a co-design philosophy both in the network and computing resources utilization. This paradigm has the potential to cause a quantum leap in crucial fields in engineering, e.g., Industry 4.0, collaborative robotics, logistics, multi-agent systems etc. To achieve these breakthroughs, we utilize and combine tools from Automata and Graph theory, Machine Learning, Modern Control Theory and Network Theory, fields where the consortium has internationally leading expertise.