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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",  \i 2018 ITU Kaleidoscope: Machine Learning for a 5G Future (ITU K)\i0 , pp. 1-8, Nov, 2018.\par \par Giacobbe, M., M. Scarpa, R. Di Pietro, and A. Puliafito,  "An Energy-Aware Brokering Algorithm To Improve Sustainability In Community Cloud",  \i Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS 2017)\i0 , vol. 1, Porto, Portugal, Institute for Systems and Technologies of Information, Control and Communication (INSTICC), pp. 166-173, 04/2017.\par \par Bruneo, D., A. Lhoas, F. Longo, and A. Puliafito,  "Modeling and Evaluation of Energy Policies in Green Clouds",  \i IEEE Transactions on Parallel and Distributed Systems\i0 , vol. 26, no. 11: IEEE Computer Society, pp. 3052-3065, 2015.\par \par Bruneo, D., A. Lhoas, F. Longo, and A. Puliafito,  "Analytical evaluation of resource allocation policies in green IaaS clouds",  \i Proceedings of the IEEE 3rd International Conference on Cloud and Green Computing (CGC) Co-located with the IEEE 3rd International Conference on Social Computing and Its Applications (SCA)\i0 , Karlsruhe, Germany, 30 September - 2 October 2013, IEEE Computer Society, pp. 84-91, 2013.\par \par }