The research activity of Enzo Baccarelli leaded to more than 200 peer-reviewed scientific contributions and two international patents on nonlinear data equalisation. The updated full list of the publications of Enzo Baccarelli is available at the Google Scholar page. In the sequel, it is reported a short list of selected papers on the currently on-going main research topics.

[2] M. Scarpiniti, E. Baccarelli, A. Momenzadeh, “VirtFogSim: A Parallel Toolbox for Dynamic Energy-Delay Performance Testing and Optimization of 5G Mobile-Fog-Cloud Virtualized Platforms”, Applied Sciences, vol. 9, no. 6, p. 1160, March 2019.

[3] M. Shojafar, N.Cordeschi, E.Baccarelli, “Energy-efficient adaptiveresource management for real-time vehicular Cloud services”, IEEE Transactions on Cloud Computing, vol. 7, no. 1, pp. 196-209, January -March 2019.

[4] E. Baccarelli, M. Scarpiniti, A. Momenzadeh, ”Fog-supported delay-constrainedenergy-saving live migration of VMs over MultiPath TCP/IP 5G connections”, IEEE Access, vol. 6, no.1, pp. 42327-42354, August 2018.

[5] E. Baccarelli, M. Scarpiniti, P.G. Vinueza Naranjo, L. Vaca-Cardenas, “Fog of Social IoT: when the Fog becomes Social”, IEEE Network, vol.4, pp. 68-80, July-August 2018.

[6] P.G. Vinueza Naranjo, E. Baccarelli, M. Scarpiniti, “Design and energy-efficient resource management of virtualizednetworked Fog architectures for the real-time support of IoT applications”,Journal of Supercomputing, vol. 74, no. 6, June 2018.

[7] M. Scarpiniti, E. Baccarelli, P.G. Vinueza Naranjo, A. Uncini, “Energy Performance of Heuristics andMeta-heuristics for Real-time Joint Resource Scaling and Consolidation in Virtualized Networked Data Centers”, Journal of Supercomputing, vol. 74, no. 5, pp. 2161-2198, May 2018.

[8] N. Cordeschi, D. Amendola, E. Baccarelli, “Fairness-constrained Optimized Time-WindowControllers for Secondary-Users with Primary-User Reliability Guarantees”,Computer Communications, vol. 116, pp. 63-76, January 2018.

[9] E. Baccarelli, P.G. Vinueza, M. Scarpiniti, M. Shojafar, J.H. Abawajy, “Fog of Everything: energy-efficientnetworked computing architectures, research challenges, and a case study”,IEEE Access, vol. 5, pp. 9882-9910, issue: 1, December 2017.

[10] M. Shojafar, Z. Pooranian, P.G. Vinueza, E. Baccarelli, “FLAPS: bandwidth and delay efficientdistributed data searching in Fog-supported P2P content delivery networks”, Journalof Supercomputing, vol. 73, no. 12, pp. 5239-5260, December 2017.

[11] E. Baccarelli, P. G. Vinueza, M. Shojafar, M. Scarpiniti, “Q*: Energy anddelay-efficient dynamic queue management in TCP/IP virtualized data centers”,Computer Communications, vol. 102, pp. 89-106, April 2017.

[12] P.G. Vinueza, M. Shojafar, H. Mostafaei, Z. Pooranian, E. Baccarelli, “P-SEP: AProlong Stable Election Routing Algorithm for Energy-limited HeterogeneousFog-supported Wireless Sensor Networks”, Journal of Supercomputing, vol. 73, no. 2, pp. 733-755, February 2017.

[13] M. Shojafar, N. Cordeschi, E. Baccarelli, “Resource scheduling for Energy-Aware Reconfigurable Internet Data Centers”,in: Innovative Research and Applications in Next-Generation High Performance Computing, by Qusay F. Hassan (Ed.),IGI Global, July 2016.

[14] E. Baccarelli, N. Cordeschi, A. Mei, M. Panella, M. Shojafar, J. Stefa, “Energy-efficient Dynamic Traffic Offloading and Reconfiguration of Networked Datacenters for BigData Stream Mobile Computing: Review, Challenges, and a Case Study”, IEEE Network, pp. 54-61, vol. 30, no. 2, March-April 2016.

[15] E. Baccarelli, D. Amendola, N. Cordeschi, “Minimum-energy bandwidth management for QoS livemigration of virtual machines”, Computer Networks, Elsevier, vol. 93, Part 1, pp. 1-22, December 2015.

[16] N. Cordeschi, D. Amendola, E. Baccarelli, “Reliable adaptive resource management for Cognitive Cloud Vehicularnetworks”, IEEE Transactions on Vehicular Technology, June 2015.

[17] N. Cordeschi, M. Shojafar, D. Amendola, E. Baccarelli, “Energy-saving QoS resource management of virtualized networked data centers for Big DataStream Computing”, in: Emerging Research in Cloud Distributed Computing Systems, Susmit Bagchi (Ed.), IGI Global, pp. 124-157, June 2015.

[18] N. Cordeschi, M. Shojafar, D. Amendola, E. Baccarelli, “Energy-efficient adaptive networked data centers for the QoS support of real-time applications”, Journal of Super computing, vol. 71, no. 2, pp. 448-478, February 2015.

[19] N. Cordeschi, D. Amendola, M. Shojafar, E. Baccarelli, “Distributed and Adaptive Resource Management in Cloud-assisted Cognitive Radio Vehicular Networks with HardReliability Guarantees”, Vehicular Communications, vol. 2, no. 1, pp. 1-12, January 2015.

[20] E. Baccarelli, F. Chiti, N. Cordeschi, R. Fantacci, D. Marabissi, R. Parisi, A. Uncini, “Green Multimedia WirelessSensor Networks: Distributed Intelligent Data Fusion, In-network Processing and Optimized Resource Management”, IEEE Wireless Communication Magazine, special issue on: Green Media: the future of wireless multimedia networks, August 2014.

[21] N. Cordeschi, V. Polli, E. Baccarelli, “Interference management for multiplemulticasts with joint distributed source/channel/network coding”, IEEE Transactopns on Communications, vol. 61, no. 12, pp. 5176-5183, December 2013.

[22] E. Baccarelli, N. Cordeschi, V. Polli, “Optimal Self-adaptive QoS Resource Management in Interference-affected Multicast Wireless Networks”, IEEE/ACM Transactions on Networking, vol. 21, no. 6, pp. 1750-1759, December 2013.