Exploring telecom standards convergence with cloud-native technologies, strict multi-tenancy models, and decentralized frameworks for ubiquitous edge networks.
SDO-Edge 2026 bridges the gap between telecom standardization organizations and open-source cloud-native communities.
The transition from centralized cloud infrastructures to edge computing paradigms is accelerating, driven by the need for ultra-low latency, high bandwidth, and privacy-preserving network applications. However, the widespread adoption of edge computing is currently hindered by platform fragmentation and a lack of unified, interoperable standards.
To realize the full potential of edge deployments across 5G/6G networks, standardization is critical across multiple dimensions: resource orchestration, strict multi-tenancy, and distributed decision-making.
This workshop aims to bring together researchers, industry practitioners, and representatives from Standard Development Organizations (e.g., ETSI MEC, 3GPP, IEEE) and open-source communities (e.g., CNCF) to explore the path toward cohesive edge standards.
We invite papers addressing the critical interoperability and orchestration challenges at the edge, including but not limited to:
Standardization of cloud-native edge orchestration, including lightweight virtualization and full virtualization models.
Standardized frameworks for edge multi-tenancy, control plane isolation, and secure resource sharing.
Protocols and interfaces for decentralized decision-making and autonomous resource allocation at the edge.
Alignment and convergence paths between ETSI MEC standards and CNCF cloud-native models.
Standardized autoscaling mechanisms tailored for distributed, resource-constrained edge nodes.
Interoperability, security, and decentralized trust architectures in heterogeneous edge computing environments.
Standardization of network-aware edge application mobility, user migration, and state transfer protocols.
Standardized Interfaces for AI agents and Model Context Protocol-based orchestration in edge-cloud systems.
Standardized architectures and interfaces for Federated Learning over 5G/6G edge infrastructures.
Moving beyond traditional sequential presentations, this workshop is designed to foster interactive, multi-perspective discussions.
The workshop will open with an invited presentation from a prominent figure involved in edge standardization. This will set the stage by outlining the current gaps between theoretical edge architectures and standardized industry adoption.
Presentations of peer-reviewed papers. Each paper will have a dedicated 15-20 minute slot, ensuring ample time for presentation and an engaging Q&A session with the audience.
Important details regarding formatting specifications, page limits, and EDAS submission protocols.
All submissions have to comply with IEEE’s guidelines. Initial submissions for review are limited to seven (7) pages. If accepted, papers should not exceed six (6) pages including figures without incurring additional page charges (maximum 1 additional page with over length page charge).
Papers must be written using the IEEE conference proceedings style format (two-column and 10-point font). It is strongly suggested to use the IEEE templates that incorporate the correct formatting specification. Only PDF files are accepted for paper review.
Meet the chairs and members coordinating this workshop.
Stefano Galantino received his Ph.D. degree in Computer Engineering from Politecnico di Torino, Italy, in 2025. He is currently a researcher and academic instructor at Politecnico di Torino. His primary research interests lie at the intersection of cloud-native computing, edge orchestration, and network optimization. He was actively involved in the Horizon Europe project FLUIDOS, contributing to the development of a seamless edge-to-cloud computing continuum.
Emilio Paolini got his Ph.D. degree in Emerging Digital Technologies, cum laude, from Scuola Superiore Sant’Anna, Pisa, Italy, in 2024. He is currently an Assistant Professor with the TeCIP Institute, Scuola Superiore Sant’Anna. His research interests include AI-enabled NextG networks, programmable data planes, and federated learning. He teaches courses on federated learning systems and received the GTTI Ph.D. Thesis Award.
Politecnico di Torino
Rakuten Mobile, Japan
Saint Louis University
Politecnico di Torino
Universitá di Bologna
IIT Dharwhad
Scuola Superiore Sant'Anna
Politecnico di Milano
Fibercop
Università Mercatorum
University of Pisa
CNIT
IBM Research Europe
University of Rome "Tor Vergata"