Digital Twin Framework and Federated Learning for Multi-plant Knowledge Sharing in Decision Support for Electric Steelmaking and Beyond
The processes of electric steelmaking are complex and difficult to control to achieve sustainable production. To strive towards competitiveness and green transformation, steelmakers apply the Electric Arc Furnace (EAF) to circulate scrap into new products.
Edge Microservice Deployment and Management Using SDN-Enabled Whitebox Switches
This work advances a 6G-ready, micro-granular SDN fabric that unifies high-performance edge data planes with intent-driven, multi-domain orchestration and cloud offloading.
Toward an Intelligent Energy Efficient and Trustworthy 6G M&O Architecture
6G networks aim to further improve QoS while optimizing environmental sustainability metrics, and integrate increased levels of intelligence for automated control and performance optimization.
Resource Orchestration and Optimization in 6G Extreme-edge Scenario
6G networks envision a pervasive service infrastructure spanning from centralized cloud to distributed edge and highly dynamic extreme-edge domains.
Goal-Oriented Semantic Aware Communication: towards more intelligent and sustainable 6G networks
A key concept addressed in the 6G-LEADER Project is the optimization of communication processes by aligning the information exchange with specific objectives.
Federated Learning: A decentralized approach to smarter, safer AI
Federated Learning represents a transformative shift in how Artificial Intelligence (AI) models are developed and deployed.
Shaping the Future of Multimedia Intelligence with XReco
Within the XReco project, Eviden has developed a Metasearch Service, a platform that allows user search across multiple media archives and data sources from a single access point. It doesn’t replace existing systems; instead of that, it connects them.
End-to-End Security Enforcement on Packet and Optical Transport Providers in Untrustworthy Multi-stakeholder Scenario
This paper introduces a new service and security orchestration solution designed to help operators and security providers establish a trust-based relationship in a multi-stakeholder environment.
The NEPHELE Meta-Orchestration Approach for Distributed Applications in the Computing Continuum
Following the trend for the provision of applications over programmable resources distributed across the computing continuum, in this manuscript, we detail a novel meta-orchestration approach for management of such applications. Two main challenges are considered.
A case study on FAME Marketplace for unlocking customer behavioral insights
This blogpost explains how the FAME Marketplace offers pre-built analytical tools for effective customer segmentation, and explore two use cases: improving financial recommendations and developing loyalty programs for parking in Athens.
C4 Model: A Research Guide for Designing Software Architectures
Given nowadays increasing complexity of software systems, their architectural design prior to their actual implementation becomes quite complicated.
ICOS: An Intelligent MetaOS for the Continuum
This paper presents ICOS, a meta-operating system designed for the cloud continuum.
Open Source approach in two metaOS projects
Transparency, collaboration, security, and digital sovereignty are the open source values that are also important to many European countries and institutions.
Intrusion Detection for IoT-based Context and Networks
Chapter 8 of the book Holistic IoT Security, Privacy and Safety: Integrated Approaches Protecting A Highly Connected World, by Konstantinos Loupos (ed.), 2025. ISBN 978-1-63828-506-9. E-ISBN 978-1-63828-507-6.
Decentralized Identity Management
Chapter 5 of the book Holistic IoT Security, Privacy and Safety: Integrated Approaches Protecting A Highly Connected World, by Konstantinos Loupos (ed.), 2025. ISBN 978-1-63828-506-9. E-ISBN 978-1-63828-507-6.
Sources, levels, and determinants of indoor air pollutants in Europe: A systematic review
Clean air is a requirement for life, and the quality of indoor air is a health determinant since people spend most of their daily time indoors.
Unlocking efficiency with Marketplace Assets: a case study on FAME Marketplace
In today’s ever-changing technological landscape, companies are constantly looking for innovative ways to increase efficiency and minimize costs, and even more nowadays with the advent of artificial intelligence and large language models.
The business potential of Smart Contracts
The telecom sector continues its transition towards virtualizing infrastructure. The digitalization of assets and their commercialization in a marketplace is expected to play a central role in 6G networks.
6GSMART-ICC: A Cloud-Continuum ORChestrator (CORC)
Nowadays, to meet the demands of Industry 4.0, a seamless convergence between the different cloud domains (edge, edge and cloud) is key for industries to have a cloud-native intelligent orchestration layer capable of establishing the necessary mechanisms to ensure continuity of services as data m
Importance of cloud continuum service orchestration in industrial environments
In industrial environments, cloud services and the Internet of Things (IoT) converge, with the need to manage complex and diverse computing environments for service and infrastructure providers, a process called cloud continuum.
Dynamic Threat Intelligence for Improvement of Resilience of Critical Infrastructure During Pandemics
The COVID-19 pandemic is an example of a temporary situation when critical infrastructure (CI) operators had to operate with continuously changing conditions. The role of cyber infrastructure during pandemics, for example for the remote work or access to critical systems, has also changed.
Assessing computational fluid dynamics on GPU using portable languages
Accelerators are essential for achieving optimal performance and energy efficiency in computing. However, market segmentation often leads to language lock-ins, limiting flexibility across accelerators and increasing development costs.
Placing Computational Tasks within Edge-Cloud Continuum: a DRL Delay Minimization Scheme.
In the rapidly evolving landscape of IoT-Edge-Cloud continuum (IECC), effective management of computational tasks offloaded from mobile devices to edge nodes is crucial.
Navigating the Dynamic Heterogeneous Computing Sphere: The Role of EdgeHarbor as a Multi-Edge Orchestrator
The term ‘Dynamic Heterogeneous Computing Sphere’ is used to describe a computing paradigm that is heterogeneous, volatile and highly dynamic.
Detecting Compromised Structural Integrity - An AI tool for Critical Infrastructure Operators working towards Climate Resilience
"Critical infrastructure operators across Europe must prepare their facilities, equipment, and personnel to operate under more strenuous conditions in a warming climate.