Importance of cloud continuum service orchestration in industrial environments
Project 6GSMART blog
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
19th Conference on Computer Science and Intelligence Systems (FedCSIS). Belgrade, Serbia
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
35th Parallel CFD International Conference
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.
Navigating the Dynamic Heterogeneous Computing Sphere: The Role of EdgeHarbor as a Multi-Edge Orchestrator
Euro-Par 2024 Conference
The term ‘Dynamic Heterogeneous Computing Sphere’ is used to describe a computing paradigm that is heterogeneous, volatile and highly dynamic.
Placing Computational Tasks within Edge-Cloud Continuum: a DRL Delay Minimization Scheme.
Euro-Par 2024 Conference
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.
Detecting Compromised Structural Integrity - An AI tool for Critical Infrastructure Operators working towards Climate Resilience
Project SUNRISE's blog
"Critical infrastructure operators across Europe must prepare their facilities, equipment, and personnel to operate under more strenuous conditions in a warming climate.
Preserving data privacy in Machine Learning pipelines with Federated Learning
FAME's project blog
The feature extraction capabilities of Machine Learning (ML) models have led to their wide adoption in a large variety of sectors: from anomaly detection for machinery, to user clustering and behavioral prediction, market trends predictions, or the analysis of text, sound, and image data.
A Security Services Management Architecture Toward Resilient 6G Wireless and Computing Ecosystem
IEEE Access - Early Access
The upcoming sixth-generation (6G) networks are expected to be more heterogeneous, scalable, reliable, secure and energy-efficient.
Security and Trust in Open and Disaggregated 6G networks
24th International Conference on Transparent Optical Networks (ICTON), Bari (Italy)
Telecommunication networks are undergoing a significant shift from closed and proprietary systems towards open and interoperable networks. This transition allows for greater flexibility and reduced dependence on single providers.
Ensuring a Secure Future: Comprehensive Insights into 6G IoT Security and Privacy
The SecureCyber Cluster Europe is a group of European Union-funded cybersecurity projects that collaborate to address cybersecurity challenges in various domains, including Internet of Things (IoT), smart grids, and more.
Functional View of the Continuum Reference Architecture: Minimum set of expected functionalities
EUCEI initiative - https://eucloudedgeiot.eu
This is the second document of a series of three defining a reference architecture for the continuum. In the previous one, different building blocks were identified setting the path for the different aspects to be taken into account while defining the architecture.
Compositional View of the Continuum Reference Architecture: graphical representation of common and potential capabilities
EUCEI initiative - https://eucloudedgeiot.eu/
This is the last document of a series of 3 for designing a Reference Architecture for the continuum. The first document of the series presented an initial version of a common taxonomy, considering it as a unified language for all actors of the value chain.
Systems and Implemented Technologies for Data-Driven Innovation, addressing Data Spaces and Marketplaces Semantic Interoperability Needs
River Publishers
i3-MARKET Series - Part II: Data Economy, Models, Technologies and Solutions
Concepts and Design Innovations addressing the Digital Transformation of Data Spaces and Marketplaces
River Publishers
i3-MARKET Book Series - Part I: A Vision to the future of Data-Driven Economy
Technical Innovation, solving the Data Spaces and Marketplaces Interoperability Problems for the Global Data-Driven Economy
River Publishers
i3-MARKET Series - Part III: The i3-MARKET FOSS Handbook
A Framework for Cognitive, Decentralized Container Orchestration
IEEE Access Volume 12
This perspective paper introduces a novel framework for container orchestration called CODECO.
UAV AI Remote Inspection. Unleashing the power of V-LLM?
Project SUNRISE's blog
It is widely known that we are living through a historic moment in the field of artificial intelligence (AI), capturing the attention of the entire world with spectacular results across multiple application fields, especially in text and image generation.
Flexible robots for intelligent automation of precision agriculture operations
CORDIS - EU Research Results
Artificial intelligence helps coordinate precision agriculture tasks
How does resilience relate to risk
Project SUNRISE's blog
"Risk and resilience are interconnected concepts. In fact, one of our goals in SUNRISE is to integrate resilience metrics with risk metrics.
Leveraging Large Language Models for Financial Predictions
FAME project blog
In the world of finance, where every decision can have significant ramifications, the possibility of predicting market movements is invaluable. Traditionally, analysts have relied on a combination of data analysis, market trends, and expert insights to make informed predictions.