How to use machine learning to decide where to do what in the edge networks

One of the main purposes of Mohammadhassan Safavi’s Ph D thesis is to leverage machine learning algorithms to predict where users activities should be done to incur minimum cost. Cost could be energy consumption, service quality degradation, service delay and so on. The thesis also covers many other aspects from reducing energy usage in data centers to how machine learning can be used in 5G mobile operator networks. Hassan defended his thesis ”Content and Resource Management in Edge Networks” 16 October 2020