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Benomar, Z., F. Longo, G. Merlino, and A. Puliafito,  "Cloud-Based Enabling Mechanisms for Container Deployment and Migration at the Network Edge",  \i ACM Trans. Internet Technol.\i0 , vol. 20, no. 3, New York, NY, USA, Association for Computing Machinery, 2020.\par \par Benomar, Z., D.. Bruneo, F.. Longo, G.. Merlino, and A.. Puliafito,  "A Mininet-Based Emulated Testbed for the I/Ocloud",  \i 2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN)\i0 , pp. 277-283, Dec, 2019.\par \par De Vita, F.., G.. Nardini, A.. Virdis, D.. Bruneo, A.. Puliafito, and G.. Stea,  "Using Deep Reinforcement Learning for Application Relocation in Multi-Access Edge Computing",  \i IEEE Communications Standards Magazine\i0 , vol. 3, no. 3, pp. 71-78, Sep., 2019.\par \par Dautov, R., S. Distefano, D. Bruneo, F. Longo, G. Merlino, and A. Puliafito,  "Data agility through clustered edge computing and stream processing",  \i CONCURRENCY AND COMPUTATION\i0 , pp. 1?15, 2018.\par \par Dautov, R., S. Distefano, D. Bruneo, F. Longo, G. Merlino, and A. Puliafito,  "Data Processing in Cyber-Physical-Social Systems Through Edge Computing",  \i IEEE Access - IEEE\i0 , vol. 6: Institute of Electrical and Electronics Engineers Inc., pp. 29822-29835, 2018.\par \par 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 Benomar, Z., D.. Bruneo, S.. Distefano, K.. Elbaamrani, N.. Idboufker, F.. Longo, G.. Merlino, and A.. Puliafito,  "Extending Openstack for Cloud-Based Networking at the Edge",  \i 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)\i0 , pp. 162-169, July, 2018.\par \par Dautov, R., S. Distefano, D. Bruneo, F. Longo, G. Merlino, A. Puliafito, and R. Buyya,  "Metropolitan intelligent surveillance systems for urban areas by harnessing IoT and edge computing paradigms",  \i SOFTWARE-PRACTICE & EXPERIENCE\i0 , vol. 48, pp. 1475?1492, 2018.\par \par Dautov, R., S. Distefano, D. Bruneo, F. Longo, G. Merlino, A. Puliafito, and R. Buyya,  "Metropolitan intelligent surveillance systems for urban areas by harnessing IoT and edge computing paradigms",  \i Software - Practice and Experience - John Wiley & Sons, Ltd.\i0 , vol. 48, no. 8: John Wiley and Sons Ltd, pp. 1475-1492, 2018.\par \par Distefano, S., D. Bruneo, F. Longo, G. Merlino, and A. Puliafito,  "Personalized Health Tracking with Edge Computing Technologies",  \i BioNanoScience\i0 , vol. 7, no. 2: Springer New York LLC, pp. 439-441, 2017.\par \par Dautov, R., S. Distefano, D. Bruneo, F. Longo, G. Merlino, and A. Puliafito,  "Pushing intelligence to the edge with a stream processing architecture",  \i Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017\i0 , Exeter, UK - 21-23 June 2017, Institute of Electrical and Electronics Engineers Inc., pp. 792-799, 2017.\par \par }