C4IIoT Tools Demonstration - UoG MEDICI скачать в хорошем качестве

C4IIoT Tools Demonstration - UoG MEDICI

MEDICI Software running on the field gateway deciding whether an IIoT security task should be offloaded [1]. Input: BACS execution time, BACS confidence, network delay between Field Gateway and Cloud Output: Choice and triggering a BACS model Position within the C4IIoT layered architecture: Field Gateway: Request Server, Decision Mechanism, Execution Map, Network Map and FG Response Server Cloud: Cloud Request Server and Network Server MEDICI advancements in the scope of C4IIoT Converted into a continuous service: Integrated with Kafka through JSON messages BACS edge nodes can submit offloading decision requests to MEDICI BACS FG and Cloud modules report back execution information, which is placed into the execution history (Execution Map) for future decisions Remote agents deployed at every offloading destination for collecting latency network data and checking if node is still up (Network Map) Decision process modified to incorporate the BACS confidence level Service, decision architecture and communication as in following slides [1] A. Jaddoa, G. Sakellari, E.Panaousis, G. Loukas and P.G. Sarigiannidis. Dynamic decision support for resource offloading in heterogeneous Internet of Things environments. Elsevier SIMPAT, 2019, DOI: 10.1016/j.simpat.2019.102019 This project has received funding from the European Union’s Horizon 2020 Research and Innovation program under Grant Agreement No 833828.