May 12, 2025
Honululu 1 or 2 co-located with NOMS 2025
14:00 | Workshop Opening
14:05 | Keynote
“Intent-based Management in Industry 5.0”
Pal Varga
Abstract
Industry 5.0 is reshaping production and manufacturing paradigms by emphasizing human-centric processes, sustainability, and resilience, taking intelligent automation as a base. A key enabler in realizing this vision is intent-based management – an approach originally conceived for network operations that is increasingly proving transformative in various domains of networking. In this keynote, besides introducing the fundamental concepts of intent-based management, we will outline its potential capabilities throughout the engineering process and discuss use-cases for Industry 5.0. Further, we will demonstrate how explicitly defined human or business intents can streamline the management of complex industrial systems and cyber-physical infrastructures.
In the new operational paradigm of intent-based management, users define high-level business or operational goals – called intents – in a human-friendly manner, abstracting away underlying technical complexities. The system automatically translates these intents into specific configurations, actions, and policies, continuously verifying whether the managed system aligns with the specified objectives. At its core, intent-based management leverages automation, artificial intelligence, and real-time analytics to provide adaptive decision-making, enabling self-configuration, self-monitoring, and self-healing capabilities. The key strength of intent-based management lies in its ability to simplify complex systems management, enhance agility, reduce human error, and swiftly adapt to changing business and environmental conditions. While initially rooted in network management, this approach can extend effectively to various domains, including cyber-physical systems, industrial automation, and infrastructure management.
Components of the intent-based management process stretches from intent specification and translation to automated monitoring and adaptive decision-making. As walking through these process steps, we show how intent-based management simplifies and enhances operational efficiency, responsiveness, and eventually sustainability as well. Additionally, we present real-world use-cases and innovative applications where IBM has empowered dynamic industrial operations, ensuring systems continuously align with strategic business objectives, environmental constraints, and human-centric values inherent in Industry 5.0. Finally, we will discuss critical challenges and future research directions, including real-time intent execution, multi-stakeholder intent resolution, security, explainability, and regulatory considerations.
About Pal Varga
Pal Varga is the Head of Department of Telecommunications and Artificial Intelligence at the Budapest University of Technology and Economics, where he is member of the Senate. His main research interests include communication systems, Cyber-Physical Systems and Industrial IoT, digital twins, network traffic analysis, end-to-end QoS and SLA issues — for which he is keen to apply hardware acceleration and AI/ML techniques as well. He has co-founded the Workshops on Generative AI for Network Management (GAIN at IEEE/IFIP NOMS) and the Workshops on Analytics for Service and Application Management (AnServApp at IEEE/IFIP CNSM). Besides being a member of HTE, he is a senior member of IEEE (both in ComSoc and IES). He is Editorial Board member in many journals, Associate Editor in IEEE TNSM, and the Editor-in-Chief of the Infocommunications Journal.
About Budapest University of Technology and Economics (BME)
Budapest University of Technology and Economics (BME) is one of the oldest and most prestigious institutions of higher education in engineering in Central Europe. Founded in 1782, BME has played an important role in shaping the region’s scientific and technological landscape. The university offers a wide range of programs in engineering, natural sciences, economics, and informatics, and is known for its strong emphasis on research, innovation, and international collaboration.
BME-TMIT, the Department of Telecommunications and Artificial Intelligence at BME brings together expertise in communication systems, signal processing, network engineering, and AI/ML. The department conducts cutting-edge research in 5G/6G networks, cybersecurity, blockchain technologies, IoT systems, speech technology, and AI-driven solutions for intelligent systems and services. It is actively involved in national and European research projects and collaborates closely with industry partners.
14:50 | Technical Session 1
CORECONF Implementation as SDN Southbound Interface for IoT: an OSCORE/EDHOC Use Case
Javier Alejandro Fernandez (IMT Atlantique, France) Rafa Marin-Lopez (University of Murcia, Spain) Gabriel Lopez-Millan (University of Murcia, Spain) Laurent Toutain (IMT Atlantique / IRISA, France)
15:10 | Technical Session 2
IoT Connectivity Management by Hyperbolic Trees Andras Majdan (BME-TMIT, Hungary) Lejla Pasic (Budapest University of Technology and Economics, Hungary) Daniel Ficzere (Budapest University of Technology and Economics, Hungary) Gergely Hollósi (Budapesti Muszaki Egyetem, Hungary) Heszberger Zalan (Assocp, Hungary) Rolland Vida (Budapest University of Technology and Economics, Bulgaria) Jozsef Biro (BME-TMIT, Hungary)
15:30 – 16:00 | Coffee Break
16:00 | Technical Session 3
Supervised Learning for Optimal Latency-aware Microservice Placement in Edge Computing Environments Hirotaka Kasahara (SoftBank Corp., Japan) Ryuichi Kitajima (SoftBank Corp., Japan) Jun Towada (SoftBank Corp., Japan) Osamu Sato (SoftBank Corp., Japan)
16:20 | Technical Session 4
Exploring Composable Network Stacks from Isolated Components with WebAssembly and QUIC Benedikt Spies (TUM, Germany) Christian Obermaier (Technical University of Munich, Germany) Jörg Ott (Technical University of Munich, Germany)
16:40 | Technical Session 5
Performance Observations from Split Federated Learning on Heterogeneous Devices and Networks Samuel Trepac (Mount Royal University, Canada) Yasaman Amannejad (Mount Royal University, Canada)
17:00 | Technical Session 6
Handling Multiple Events in IoT Environments: A Workflow-Based FaaS System Jangwon Seo (SoongSil University, South Korea) Hyeongwoo Ju (SoongSil University, South Korea) Younghan Kim (SoongSil University, North Korea)