@article {8928171, title = {Using Deep Reinforcement Learning for Application Relocation in Multi-Access Edge Computing}, journal = {IEEE Communications Standards Magazine}, volume = {3}, number = {3}, year = {2019}, month = {Sep.}, pages = {71-78}, keywords = {5G mobile communication, Base stations, Computer architecture, Edge computing, Long Term Evolution, Quality of service, Reinforcement learning}, issn = {2471-2833}, doi = {10.1109/MCOMSTD.2019.1900011}, author = {F. De Vita and G. Nardini and A. Virdis and D. Bruneo and A. Puliafito and G. Stea} }