| 2024 | Leveraging LLMs to eXplain DRL Decisions for Transparent 6G Network Slicing. | Mazene Ameur, Bouziane Brik, Adlen Ksentini |
| 2024 | Enhancing P4 Syntax to Support Extended Finite State Machines as Native Stateful Objects. | Florent Allard, Tarek Ould-Bachir, Yvon Savaria |
| 2024 | IntentLLM: An AI Chatbot to Create, Find, and Explain Slice Intents in TeraFlowSDN. | Daniel Adanza, Carlos Natalino, Lluis Gifre, Raul Muoz, Pol Alemany, Paolo Monti, Ricard Vilalta |
| 2024 | Efficient Network Slicing Orchestrator for 5G Networks using a Genetic Algorithm-based Scheduler with Kubernetes: Experimental Insights. | Massinissa Ait Aba, Maya Kassis, Maxime Elkael, Andrea Araldo, Ali Al Khansa, Hind Castel-Taleb, Badii Jouaber |
| 2023 | Information Leakages of Docker Containers: Characterization and Mitigation Strategies. | Marco Zuppelli, Matteo Repetto, Luca Caviglione, Enrico Cambiaso |
| 2023 | Auction-based network slicing for 5G RAN. | Ligia Maria Moreira Zorello, Kazem Eradatmand, Sebastian Troia, Achille Pattavina, Yingqian Zhang, Guido Maier |
| 2023 | From Automation to Autonomous: Driving the Optical Network Management to Fixed Fifth-generation (F5G) Advanced. | Haomian Zheng, Yunbin Xu, Italo Busi, Ricard Vilalta, Ramon Casellas, Raul Muoz, Jun Zhou |
| 2023 | Automated Placement of In-Network ACL Rules. | Wafik Zahwa, Abdelkader Lahmadi, Michal Rusinowitch, Mondher Ayadi |
| 2023 | On the Decentralization of Blockchain-enabled Asynchronous Federated Learning. | Francesc Wilhelmi, Elia Guerra, Paolo Dini |
| 2023 | Demo of QoEyes: Towards Virtual Reality Streaming QoE Estimation Entirely in the Data Plane. | Francisco Germano Vogt, Fabricio E. Rodriguez Cesen, Ariel Ges de Castro, Marcelo Caggiani Luizelli, Christian Esteve Rothenberg, Gergely Pongrcz |
| 2023 | QoEyes: Towards Virtual Reality Streaming QoE Estimation Entirely in the Data Plane. | Francisco Germano Vogt, Fabricio E. Rodriguez Cesen, Ariel Ges de Castro, Marcelo Caggiani Luizelli, Christian Esteve Rothenberg, Gergely Pongrcz |
| 2023 | Preventing Cross Network Slice Disruptions in a Zero-Trust and Multi-Tenant Future 5G Networks. | Shwetha Vittal, Unnati Dixit, Siddhesh Pratim Sovitkar, K. Sowjanya, A. Antony Franklin |
| 2023 | Dynamic and Mobility-Aware VNF Placement in 5G-Edge Computing Environments. | Juan Lucas Vieira, Anselmo Luiz den Battisti, Evandro L. C. Macedo, Paulo F. Pires, Dbora C. Muchaluat-Saade, Flvia Coimbra Delicato, Ana Cristina Bernardo de Oliveira |
| 2023 | Precise Turbo Frequency Tuning and Shared Resource Optimisation for Energy-Efficient Cloud Native Workloads. | Paul Veitch, Chris MacNamara, John J. Browne |
| 2023 | Comparison of Virtual Machines and Bare Metal for CNFs at Resource-Constrained Network Edge. | Paul Veitch, Adam Broadbent, Arsham Farshad |
| 2023 | Link Quality Estimation in Wireless Software Defined Network with a Reliable Control Plane. | Farzad Veisi, Julien Montavont, Fabrice Theoleyre |
| 2023 | Investigating 5G Network Slicing Resilience through Survivability Modeling. | Trond Vatten |
| 2023 | Towards Digital Network Twins: Can we Machine Learn Network Function Behaviors? | Razvan-Mihai Ursu, Johannes Zerwas, Patrick Krmer, Navidreza Asadi, Phil Rodgers, Leon Wong, Wolfgang Kellerer |
| 2023 | DRL-based Service Migration for MEC Cloud-Native 5G and beyond Networks. | Theodoros Tsourdinis, Nikos Makris, Serge Fdida, Thanasis Korakis |
| 2023 | Demonstrating the Benefits of Service-Aware Pod Autoscaling with Shared Resources. | Federico Tonini, Carlos Natalino, Lena Wosinska, Paolo Monti |
| 2023 | Quantifying Security Risks in Cloud Infrastructures: A Data-driven Approach. | Sousan Tarahomi, Ralph Holz, Anna Sperotto |
| 2023 | Understanding Roadblocks in Virtual Network I/O: A Comprehensive Analysis of CPU Cache Usage. | Daichi Takeya, Ryota Kawashima, Hiroki Nakayama, Tsunemasa Hayashi, Hiroshi Matsuo |
| 2023 | Edge Service Caching for Service Function Chains. | Radhika Sukapuram, Sikha Deka |
| 2023 | P4-LISP: A P4-Based High-Performance Router for the Locator/Identifier Separation Protocol. | Benjamin Steinert, Marco Hberle, Jan-Oliver Nick, Dino Farinacci, Michael Menth |
| 2023 | Deep Reinforcement Learning Edge Workload Orchestrator for Vehicular Edge Computing. | Eliana Neuza Silva, Fernando Mira da Silva |