Networked Embedded Systems constitute a key enabling technology for Industry 4.0 and cutting-edge applications, such as smart cities, intelligent energy management, and transportation. Performance optimisation in Networked Embedded Systems involves carefully configuring several network parameters and tailoring the network to application requirements and to the environment it is deployed.
ELISE provides network reconfigurations at runtime responding to dynamic application requirements, such as energy-efficiency, latency and reliability. It is powered by a reinforcement learning framework that is trained to identify optimal network configurations.
In this video demo, ELISE dynamically reconf...