A Global Survey of Recent Trends in Automotive Cyber Security Testing
Security takes precedence in a computing continuum, and the DECICE project places a strong emphasis on security while building a device-edge-cloud collaboration platform. The requi
Virtual Training Environment
Today we are going to take a look at a core component of the DECICE framework – the Virtual Training Environment or Synthetic Test Environment. Training a scheduler is not an eas
National C-ITS Reports from VeNIT Lab – Marmara University
Marmara University, a partner and the C-ITS use case provider in the DECICE Project, recently released the first report in a series of three as part of a protocol signed with the M
Proof-of-Concept of Digital Twin in DECICE
This proof-of-concept setup demonstrates the functionalities of the various sub-components and highlights potential future developments of the Digital Twin within the Kubernetes ec
AI Scheduler for Mapping Storage Resources
The AI scheduler for storage focuses on optimizing data placement, migration, and replication across multiple storage solutions in the compute continuum. The scheduler evaluates th
Connecting the Dots: DECICE and SM4RTENANCE to shape the future of Cloud orchestration and Manufacturing.
In a remarkable convergence of strategic initiatives, the kick-off meeting for the SM4RTENANCE project and the progress meeting for DECICE took place on the same days, the former
Ensuring Privacy in C-ITS: GDPR Compliance in Surveillance Datasets
In the rapidly evolving landscape of cloud computing and edge technology, the DECICE Project emerges as a pioneering initiative to improve collaboration among HPC, cloud, edge, and
Season greetings and review of 2023
Review of the year We would like to say thank you to all the people supporting DECICE this year. Thank you to all of our partners working hard on our project to achieve important s
Potential of DECICE for Federated Learning Use Cases
Federated Learning (FL) in the DECICE project involves a decentralized machine learning model shared across edge devices. In FL each device locally processes data for model trainin
Presentation of DECICE Poster on the Italian Conference on Big Data and Data Science
E4 Computer Engineering is a Partner of the DECICE project Consortium. In September 2023, participation in two important national-level events was planned, with the goal to keep up