Dustdar, S. (2023). Learning and reasoning for distributed computing continuum ecosystems. In R. Chbeir, M. Ivanovic, Y. Manolopoulos, & P. Revesz (Eds.), IDEAS ’23: Proceedings of the 27th International Database Engineered Applications Symposium. ACM. http://hdl.handle.net/20.500.12708/200036
A captivating set of hypotheses from the field of neuroscience suggests that human and animal brain mechanisms result from few powerful principles. If proved to be accurate, these assumptions could open a deep understanding of the way humans and animals manage to cope with the unpredictability of events and imagination. Modern distributed systems also deal with uncertain scenarios, where environments, infrastructures, and applications are widely diverse. In the scope of IoT-Edge-Fog-Cloud computing, leveraging these neuroscience-inspired principles and mechanisms could aid in building more flexible solutions able to generalize over different environments.
