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Dr. Flavio Esposito has been awarded $100,000 from the NSF to study how learning theory can be leveraged to better manage edge networks. The project, part of the NSF US-EU Internet Core & Edge Technologies, will launch a new research collaboration with Dr. Michele Rossi’s team at the University of Padua, Italy.


Edge computing in combination with 5G networks are expected to provide a drastic increase in communication speed with respect to current 4G technologies, leading to new services such as ultra-reliable communications, broadband access in dense areas, augmented and virtual reality and “tactile” Internet. By leveraging learning theory and lesson learned from the high-frequency financial trading world, the project will study how to define new abstractions and interfaces that will allow network operators to coordinate computation and traffic allocation decisions at the edge cloud, i.e., closer to the user.