Ruolo editoriale nella rivista «INTERNATIONAL JOURNAL OF ADAPTIVE, RESILIENT AND AUTONOMIC SYSTEMS»
Ruolo editoriale nella rivista «International Journal of Handheld Computing Research (IJHCR)»
Herrera, Juan Luis; Scotece, Domenico; Galán-Jiménez, Jaime; Berrocal, Javier; Di Modica, Giuseppe; Foschini, Luca, MUMIPLOP: optimal multi-core IoT service placement in fog environments, «COMPUTING», 2025, 107, pp. 1 - 33 [Scientific article]
Bellavista, Paolo; Bujari, Armir; Foschini, Luca; Sabbioni, Andrea; Venanzi, Riccardo, A MECApp-aware Lifecycle Management Approach in 5G Edge-Cloud Deployments, in: 2024 33rd International Conference on Computer Communications and Networks (ICCCN), 2024, pp. 1 - 6 (atti di: 33rd International Conference on Computer Communications and Networks (ICCCN), Kailua-Kona, HI, US, 29-31 July 2024) [Contribution to conference proceedings]Open Access
Garbugli, Andrea; Scotece, Domenico; Foschini, Luca; Bellavista, Paolo, Advanced and Future Network Access Technologies for the Metaverse, in: Realizing the Metaverse: A Communications and Networking Perspective, Stati Uniti, wiley, 2024, pp. 63 - 92 [Chapter or essay]
Calvio, A.; Lenzi, F.; Bujari, A.; Foschini, L., Charting the Route: Fine-grained Road Topology Construction for Logistics Digital Twins, in: Proceedings - IEEE Symposium on Computers and Communications, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 1 - 6 (atti di: 29th IEEE Symposium on Computers and Communications, ISCC 2024, fra, 2024) [Contribution to conference proceedings]
Rosa, Lorenzo; Foschini, Luca; Corradi, Antonio, Empowering Cloud Computing With Network Acceleration: A Survey, «IEEE COMMUNICATIONS SURVEYS AND TUTORIALS», 2024, 26, pp. 2729 - 2768 [Scientific article]Open Access
Rojo, Javier; Garcia-Alonso, Jose; Berrocal, Javier; Foschini, Luca; Bellavista, Paolo; Hernández, Juan; Murillo, Juan M., Enabling Personal Health Trajectory systems by means of a blockchain federation, «INTERNET OF THINGS», 2024, 27, Article number: 101247 , pp. 1 - 17 [Scientific article]
Herrera, Juan Luis; Montebugnoli, Sofia; Bellavista, Paolo; Foschini, Luca, Enabling Reusable and Comparable xApps in the Machine Learning-Driven Open RAN, in: IEEE International Conference on High Performance Switching and Routing, HPSR, 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE Computer Society, 2024, pp. 37 - 42 (atti di: 25th IEEE International Conference on High Performance Switching and Routing, HPSR 2024, Pisa, Italy, July 22-24, 2024) [Contribution to conference proceedings]
Montebugnoli, Sofia; Sabbioni, Andrea; Foschini, Luca, Evaluating Mesh Communications in Disaggregated Near-RT RIC for 5G Open RAN: a Functional and Performance Analysis, in: GLOBECOM 2024 - 2024 IEEE Global Communications Conference, IEEE, 2024, pp. 571 - 576 (atti di: GLOBECOM 2024, Cape Town, South Africa, 8-12 December 2024) [Contribution to conference proceedings]
Gómez-delaHiz, José; Herrera, Juan Luis; Scotece, Domenico; Galán-Jiménez, Jaime; Berrocal, Javier; Di Modica, Giuseppe; Foschini, Luca, Evolutionary Computation for Latency Minimization in SDN Microservice Architectures, in: Evolutionary Computation for Latency Minimization in SDN Microservice Architectures, 2024, pp. 171 - 176 (atti di: ICC 2024 - IEEE International Conference on Communications, Denver, CO, USA, 09-13 June 2024) [Contribution to conference proceedings]Open Access
Scotece, Domenico; Tshakwanda, Petro Mushidi; Arzo, Sisay Tadesse; Cavallari, Riccardo; Foschini, Luca; Devetsikiotis, Michael, Intelligent Agent support for Topology Learning in microservices-based SDN Controller, in: Intelligent Agent support for Topology Learning in microservices-based SDN Controller, 2024, 81, pp. 165 - 170 (atti di: ICC 2024 - IEEE International Conference on Communications, Denver, CO, USA, 09-13 June 2024) [Contribution to conference proceedings]
Bellavista, Paolo; Dahdal, Simon; Foschini, Luca; Tazzioli, Davide; Tortonesi, Mauro; Venanzi, Riccardo, Kubernetes Enhanced Stateful Service Migration for ML-Driven Applications in Industry 4.0 Scenarios, in: Proceedings - 2024 IEEE Annual Congress on Artificial Intelligence of Things, AIoT 2024, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 25 - 31 (atti di: 2024 IEEE Annual Congress on Artificial Intelligence of Things, AIoT 2024, aus, 2024) [Contribution to conference proceedings]
Borsatti, D.; Cerroni, W.; Foschini, L.; Ya Grabarnik, G.; Manca, L.; Poltronieri, F.; Scotece, D.; Shwartz, L.; Stefanelli, C.; Tortonesi, M.; Zaccarini, M., KubeTwin: A Digital Twin Framework for Kubernetes Deployments at Scale, «IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT», 2024, 21, Article number: 10538432 , pp. 3889 - 3903 [Scientific article]
Staffolani, Alessandro; Darvariu, Victor-Alexandru; Foschini, Luca; Girolami, Michele; Bellavista, Paolo; Musolesi, Mirco, PRORL: Proactive Resource Orchestrator for Open RANs Using Deep Reinforcement Learning, «IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT», 2024, 21, pp. 3933 - 3944 [Scientific article]Open Access
