@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}
}
