OMNeT++/SimuLTE simulator

A Deep Reinforcement Learning Approach For Data Migration in Multi-Access Edge Computing

Vita, F.. D., D.. Bruneo, A.. Puliafito, G.. Nardini, A.. Virdis, and G.. Stea, "A Deep Reinforcement Learning Approach For Data Migration in Multi-Access Edge Computing", 2018 ITU Kaleidoscope: Machine Learning for a 5G Future (ITU K), pp. 1-8, Nov, 2018.

From MDSLab

#SmartME - MESSINA IN THE FUTURE Admin

The #SmartME project was born from a wish of a team of researchers in the Mobile and Distributed Systems Lab (MDSLab) at the University of Messina who, in collaboration with the Industrial Liaison Office and the Center for Information Services of the University (CIAM), are eager to encourage, in an innovative fashion, a “conversation” with the municipality of Messina, ... read more.

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OMNeT++/SimuLTE simulator