Collaborative edge-cLoud continuum and Embedded AI for a Visionary industry of thE futuRe

Informations projet

CLEVER

N° de convention de subvention: 101097560

DOI

10.3030/101097560

Date de signature de la CE 29 Novembre 2022

Date de début 1 Janvier 2023

Date de fin 31 Decembre 2025

Financé au titre de

• Digital, Industry and Space

Coût total

€ 14 974 655,00

Contribution de l’UE

€ 4 497 177,77

Coordonné par

SCUOLA SUPERIORE DI STUDI UNIVERSITARI E DI PERFEZIONAMENTO S ANNA
Italy

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (7)

Testbed setup and data collection

Report on the lab infrastructures and capabilities for test validation required to conduct the use cases in CLEVER. In addition, this deliverable will report on the dataset used for AI training and execution.

Implementation status at M22 of Middleware for Enabling Edge-AI

This deliverable will report on the status at M22 of the WP4 activities related to the implementation of middleware software for enabling AI.

Dissemination, Communication, and Standardization at M24

This report highlights the dissemination, communication, and standardization activities and outcomes during the second year of the project.

Design and preliminary implementation of Middleware for Enabling Edge-AI

This deliverable will report on the design and preliminary implementation of the (i) security solutions for trustworthy edge computing and networking, (ii) graph generation and orchestration through AI-techniques; (iii) semantic representation and smart allocation solutions, (iv) automated orchestration/maintenance technology, and (v) monitoring and telemetry infrastructure. In addition, it will provide the indicators that show how much progress has been achieved with regard to the completion of the activities the limitations, as well as the potential changes in the plans and the corrective actions taken (if needed) to compensate for the deviations.

Design and first implementation of AI-driven applications for the use cases

This deliverable will communicate the detailed status of the CLEVER applications enabling the use cases and based on the CLEVER HW and SW building components and technologies. It will report on the technical progress of all the WP5 tasks and subtasks. In addition, it will provide the indicators that show how much progress has been achieved with regard to the completion of the deliverables, the limitations, as well as the potential changes in the plans and the corrective actions taken (if needed) to compensate for the deviations.

Final CLEVER requirements, specifications, and detailed use case definition

Report on the technical and architectural requirements and system functional specifications (related to Task T2.1) and on the specification of AI solutions for use cases (related to Task T2.2). Furthermore, this deliverable will report on the use case definition, including motivations, reference scenario, expected progresses beyond state of art, specific requirements and KPIs (in-line with Project KPIs), and execution plan with per-partner contributions (related to T3.3)

Dissemination, Communication, and Standardization at M12

This report highlights the dissemination and communication efforts and outcome of activities during the first year of the project. In addition, it lies down the standardization plans for CLEVER.

Publications

Conference proceedings (32)

Using Distributed Ledgers To Build Knowledge Graphs For Decentralized Computing Ecosystems

Auteurs: Tarek Zaarour, Ahmed Khalid, Preeja Pradeep, Ahmed Zahran
Publié dans: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Éditeur: ACM
DOI: 10.1145/3627673.3679644

Comparative analysis of machine learning algorithms for the classification of underwater marine debris

Auteurs: B. Jalil, L. Maggiani and L. Valcarenghi
Publié dans: 2023
Éditeur: IEEE
DOI: 10.1109/MetroSea58055.2023.10317314

Safeguarding Blockchain and Dlts From Arbitrary and Malicious Content

Auteurs: Alan Barnett, Merry Globin, Tarek Zaarour, Sean Ahearne, Ahmed Khalid
Publié dans: 2024 IEEE 32nd International Conference on Network Protocols (ICNP), 2025
Éditeur: IEEE
DOI: 10.1109/ICNP61940.2024.10858544

Fiber To The Room Challenges and Opportunities

Auteurs: A. Marotta, L. Valcarenghi, K. Kondepu, C. Centofanti, C. Rinaldi, F. Graziosi, D. Cassioli
Publié dans: 2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS), 2024
Éditeur: IEEE
DOI: 10.1109/COMSNETS59351.2024.10427248

ELEVATE: Optimal Scheduling of Time-Sensitive Tasks on the Heterogeneous Reconfigurable Edge

Auteurs: Ingo Hoyer, Tarek Zaarour, Ahmed Khalid, Alexander Utz, Karsten Seidl, Ken Brown, Ahmed H. Zahran
Publié dans: 2024 IEEE 32nd International Conference on Network Protocols (ICNP), 2025
Éditeur: IEEE
DOI: 10.1109/ICNP61940.2024.10858561

First Line-rate End-to-End Post-Quantum Encrypted Optical Fiber Link Using Data Processing Units (DPUs)

Auteurs: A. Cano Aguilera, R. Abu Bakar, F. Alhamed, C. Rubio Garcia, J.L. Imana, I.Tafur Monroy, F. Cugini, and J.J Vegas Olmos
Publié dans: 2024
DOI: 10.1364/OFC.2024.M1G.4

Computation offloading in beyond 5G/6G networks with edge computing: implications and challenges

Auteurs: Catalina Stan; Simon Rommel; Juan José Vegas Olmos; Idelfonso Tafur Monroy
Publié dans: Crossref, 2023, ISBN 978-3-031-38317-5
Éditeur: Springer
DOI: 10.1007/978-3-031-38318-2_47

Adaptive Retraining of AI/ML Model for Beyond 5G Networks: A Predictive Approach

Auteurs: 11. V. Gudepu, V. R. Chintapalli, P. Castoldi, L. Valcarenghi, B. R. Tamma and K. Kondepu
Publié dans: 2023
DOI: 10.1109/NetSoft57336.2023.10175451

Coordinated vDU relocation for an Energy Efficient PON-based Open SD-RAN

Auteurs: L. Valcarenghi
Publié dans: 2024 24th International Conference on Transparent Optical Networks (ICTON), 2024
Éditeur: IEEE
DOI: 10.1109/ICTON62926.2024.10647660

Energy-Efficient Integrated O-RAN/PON Access Network

Auteurs: L. Valcarenghi, A. Marotta, C. Centofanti, F. Graziosi, K. Kondepu
Publié dans: ICC 2024 - IEEE International Conference on Communications, 2024
Éditeur: IEEE
DOI: 10.1109/ICC51166.2024.10622867

5G New Radio Techniques for 3D Networks in Connection-critical Scenarios

Auteurs: Luca Valcarenghi, Justine Cris Borromeo, Riccardo Bassoli, Frank H.P. Fitzek, Koteswararao Kondepu, Nicola Andriolli, Henok Berhanu Tsegaye, Claudio Sacchi
Publié dans: 2024 IEEE Aerospace Conference, 2024
Éditeur: IEEE
DOI: 10.1109/AERO58975.2024.10521105

Marine Litter Classification Through Multi-Camera System: Perception and Latency

Auteurs: B. Jalil, L. Maggiani, L. Valcarenghi
Publié dans: 2024 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea), 2025
Éditeur: IEEE
DOI: 10.1109/METROSEA62823.2024.10765735

GAN-Based Drift and Anomaly Detection for Open Radio Access Networks

Auteurs: Venkateswarlu Gudepu, Bhargav Chirumamilla, Venkatarami Reddy Chintapalli, Piero Castoldi, Luca Valcarenghi, Bheemarjuna Reddy Tamma, Deepak Kataria, Koteswararao Kondepu
Publié dans: 2024 IEEE 25th International Conference on High Performance Switching and Routing (HPSR), 2024
Éditeur: IEEE
DOI: 10.1109/HPSR62440.2024.10635911

Enhancing UAV Systems via Task Offloading at the EDGE

Auteurs: R. R. Tella, A. Marotta, P. Castoldi, L. Valcarenghi and K. Kondepu
Publié dans: 2023
DOI: 10.1109/ANTS59832.2023.10469506

Hierarchical Software-Defined Control for coordinated RAN and PON-based Transport Scaling

Auteurs: Alessandro Pacini, Andrea Sgambelluri, Carlo Centofanti, Andrea Marotta, Emilio Paolini, Alessio Giorgetti, Luca Valcarenghi
Publié dans: NOMS 2024-2024 IEEE Network Operations and Management Symposium, 2024
Éditeur: IEEE
DOI: 10.1109/NOMS59830.2024.10575208

Photonic-accelerated AI for cybersecurity in sustainable 6G networks

Auteurs: E. Paolini, L. Valcarenghi, L. Maggiani and N. Andriolli
Publié dans: 2023
Éditeur: IEEE
DOI: 10.1109/EuCNC/6GSummit58263.2023.10188264

Scalable User-Centric Distributed Massive MIMO Systems with Limited Processing Capacity

Auteurs: M. M. M. Freitas et al.
Publié dans: 2023
Éditeur: IEEE
DOI: 10.1109/ICC45041.2023.10279694

Optimized Monitoring of Underwater Marine Waste Using Knowledge Distillation

Auteurs: B. Jalil, L. Maggiani, L. Valcarenghi
Publié dans: 2024 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea), 2025
Éditeur: IEEE
DOI: 10.1109/METROSEA62823.2024.10765682

A Programmable 5G DU-RU SmartNIC based on MPSoC FPGA

Auteurs: Abdelghani Bourenane, Emilio Paolini, Nicola Andriolli, Luca Valcarenghi
Publié dans: 2024 IEEE 25th International Conference on High Performance Switching and Routing (HPSR), 2024
Éditeur: IEEE
DOI: 10.1109/HPSR62440.2024.10635977

Virtual Try-On Application leveraging RoCE in Low-latency Edge Computing Networks

Auteurs: Michelangelo Guaitolini, Abdul H. Khan, Emilie Le Rouzic, Francesco Paolucci, Filippo Cugini
Publié dans: 2024 24th International Conference on Transparent Optical Networks (ICTON), 2024
Éditeur: IEEE
DOI: 10.1109/ICTON62926.2024.10647389

AI/ML Model Training in O-RAN: Assessing Datasets for Hoarding and Choosing Strategies

Auteurs: Venkateswarlu Gudepu, Bhargav Chirumamilla, Venkatarami Reddy Chintapalli, Piero Castoldi, Luca Valcarenghi, Koteswararao Kondepu
Publié dans: 2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), 2024
Éditeur: IEEE
DOI: 10.1109/ANTS59832.2023.10468670

Programmable Packet-Optical Networks using Data Processing Units (DPUs) with Embedded GPU

Auteurs: Piero Castoldi, Rana Abu Bakar, Andrea Sgambelluri, Juan Jose Vegas Olmos, Francesco Paolucci, and Filippo Cugini
Publié dans: 2024
DOI: 10.5281/zenodo.11030206

A pilot study to classify salt treated poplar plants using machine learning algorithms

Auteurs: Bushra Jalil, Iqra Sarfraz, Lorenzo Della Maggiora, Alessandra Francini, Luca Valcarenghi, Luca Sebastiani
Publié dans: 2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), 2024
Éditeur: IEEE
DOI: 10.1109/METROAGRIFOR58484.2023.10424065

Towards Trust-Based Data Weighting in Machine Learning

Auteurs: Seán Óg Murphy, Utz Roedig, Cormac J. Sreenan, Ahmed Khalid
Publié dans: 2023 IEEE 31st International Conference on Network Protocols (ICNP), 2023
Éditeur: IEEE
DOI: 10.1109/ICNP59255.2023.10355606

"Virtual Try-On Application leveraging RoCE in Low-latency Edge Computing Networks"", 24th International Conference on Transparent Optical Networks (ICTON), 2024"

Auteurs: M. Guaitolini, A. H. Khan, E. Le Rouzic, F. Paolucci, F. Cugini
Publié dans: 2024

A Cooperative Energy Saving Scheme for NG-PON2-Based 5G X-Haul

Auteurs: L. Valcarenghi, A. Marotta, C. Centofanti, F. Graziosi and K. Kondepu
Publié dans: 2023
Éditeur: IEEE
DOI: 10.1109/PSC57974.2023.10297278

"""A Flexible Forecasting Platform Enabling Zero Touch Networking and Digital Twinning,"" 2023 23rd International Conference on Transparent Optical Networks (ICTON), Bucharest, Romania, 2"

Auteurs: L. Valcarenghi, P. Castoldi, A. Sgambelluri, E. Paolini and A. Pacini,
Publié dans: 2023

Enabling Lightweight Federated Learning in NextG Wireless Networks

Auteurs: Emilio Paolini, Luca Valcarenghi, Nicola Andriolli, Luca Maggiani, Flavio Esposito
Publié dans: 2024 IEEE 10th International Conference on Network Softwarization (NetSoft), 2024
Éditeur: IEEE
DOI: 10.1109/NetSoft60951.2024.10588916

Effectiveness of Confidentiality-Preserving Clustering Algorithms for Soft Failure Detection in Optical Networks

Auteurs: Azarm Yeganehfallah, Andrea Sgambelluri, Alessandro Pacini, Luca Valcarenghi, Moises Felipe Silva
Publié dans: 2024 IEEE 25th International Conference on High Performance Switching and Routing (HPSR), 2024
Éditeur: IEEE
DOI: 10.1109/HPSR62440.2024.10636007

Cascaded Look Up Table Distillation of P4 Deep Neural Network Switches

Auteurs: De Marinis, Lorenzo Paolini, Emilio Rana, Abu Bakar Cugini, Filippo Paolucci, Francesco
Publié dans: 2023
DOI: 10.5281/zenodo.11029806

CATER: A Policy-Based Data Placement Framework for Edge Storage

Auteurs: 5. Ahmed Khalid, Sean Ahearne, Hemant K. Mehta, Utz Roedig, Cormac J. Sreenan
Publié dans: 2024
DOI: 10.1109/PDP62718.2024.00013

A Flexible Forecasting Platform Enabling Zero Touch Networking and Digital Twinning

Auteurs: L. Valcarenghi, P. Castoldi, A. Sgambelluri, E. Paolini and A. Pacini
Publié dans: 2023
Éditeur: IEEE
DOI: 10.1109/ICTON59386.2023.10207209

Peer reviewed articles (2)

Real-Time Clustering Based on Deep Embeddings for Threat Detection in 6G Networks

Auteurs: E. Paolini, L. Valcarenghi, L. Maggiani and N. Andriolli
Publié dans: IEEE Access, 2023, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2023.3325721.

Enhancing Network Visibility and Security with Advanced Port Scanning Techniques

Auteurs: Rana Abu Bakar, Boonserm Kijsirikul
Publié dans: Sensors, Numéro 23, 2023, ISSN 1424-8220
Éditeur: MDPI AG
DOI: 10.3390/s23177541