A secure and reusable Artificial Intelligence platform for Edge computing in beyond 5G Networks

Informations projet

AIatEDGE

N° de convention de subvention: 101015922

DOI

10.3030/101015922

Projet clôturé

Date de signature de la CE 8 Decembre 2020

Date de début 1 Janvier 2021

Date de fin 31 Decembre 2023

Financé au titre de

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Coût total

€ 8 001 247,50

Contribution de l’UE

€ 8 001 247,50

Coordonné par

FONDAZIONE BRUNO KESSLER
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 (15)

Final report on Systems and Methods for AI@EDGE platform automation

This deliverable will provide the final report on the systems and methods approaches, along with the final evaluation results. The report will also provide the final implementation and tools expected from this work package.

First dissemination, impact assessment and exploitation report

This deliverable reports the complete set of activities performed in the project after the first year related to dissemination standardisation impact assessment and a first view of the achieved objectives of exploitation of the partners

Consolidated system architecture and interfaces specifications, and techno-economic analysis

This deliverable will provide the consolidated AI@EDGE system architecture, the interfaces, and the protocols to be used for the data exchange. This deliverable will also report on a more refined techno-economic analysis and impact assessment.

Design and initial prototype of the AI@EDGE connect-compute platform

Overall description of the system to be delivered involving resource management datadriven serviceorchestration and lifecycle management and securityprivacydataprotection mechanisms

Use cases, requirements, and preliminary system architecture

This deliverable will detail the AIEDGE use cases and the associated functional and system requirements This deliverable will also report on a preliminary version of the 5G AIEDGE system architecture

Testing and validation methodology, planning and preparation

This deliverable will illustrate the methodology used in piloting the addressed KPIs the design of experiments and a plan of the tests This deliverable will also report on the integrated platforms peruse cases and applications

Results on the validation of the AI@EDGE connect-compute platform

This deliverable will provide the final report on the systems and methods approaches, along with the final evaluation results.

Project website, dissemination channels and social media communications

This deliverable describes the project website contents and settings the most relevant dissemination channels and the social media activities

KPIs, social-economic impact assessment, and techno-economic analysis

This deliverable will report on the final KPIs, social-economic impact, and techno-economic analysis of AI@EDGE.

Final Validation and Use Case Benchmarking

This deliverable will report on final trials results in the different sites. This will include testing, use cases trials, and data collection and management. The deliverable will also report on the final integrated platform.

Preliminary assessment of system architecture, interfaces specifications, and techno-economic analysis

This deliverable will provide the preliminary AIEDGE system architecture the interfacesand the protocols to be used for the data exchange This deliverable will also report on the preliminary technoeconomic analysis and impact assessment

Final dissemination, impact assessment and exploitation report

This deliverable reports the complete set of activities performed in the project after the last year related to dissemination, standardisation, impact assessment and a final analysis of the achieved objectives of exploitation of the partners.

Initial report on systems and methods for AI@EDGE platform automation

This deliverable will summarize technical platform requirements and outline initial systems and methods approaches along with first evaluation results to be further developed throughout the project The report will also encompass a first projection of the expected implementations and tools from this work package

Second dissemination, impact assessment and exploitation report

This deliverable reports the complete set of activities performed in the project until the second year related to dissemination, standardisation, impact assessment and a refined view of the achieved objectives of exploitation of the partners.

Preliminary Validation and Use Case Benchmarking

This deliverable will report on preliminary trials results in the different sites This will include preliminary testing use cases trials and data collection and management

Open Research Data Pilot (1)

Data Management Plan for AI@EDGE

This deliverable contains the AIEDGE plan for data management during and after the end of the project

Publications

Conference proceedings (25)

Delay-Sensitive Wireless Content Delivery: An Interpretable Artificial Intelligence Approach

Auteurs: Estefanía Coronado, Blas Gómez, José Villalón, Antonio Garrido, Shuaib Siddiqui, Roberto Riggio
Publié dans: 1st International Workshop on Network Programmability (NetP 2021) co-located with CNSM 2021, 2021
Éditeur: IEEE
DOI: 10.5281/zenodo.7891472

Auto-tuning of Hyper-parameters for Detecting Network Intrusions via Meta-learning

Auteurs: Anser, Omar; François, Jérôme; Chrisment, Isabelle
Publié dans: "NOMS 2023 - IEEE/IFIP Network Operations and Management Symposium (NOMS) - AnNet workshop, IEEE; IFIP, May 2023, Miami, United States. pp.1-6, ⟨10.1109/NOMS56928.2023.10154381⟩", Numéro 12, 2023
Éditeur: -
DOI: 10.1109/noms56928.2023.10154381

Design and Evaluation of a K8s-based System for Distributed Open-Source Cellular Networks

Auteurs: Javier Palomares; Estefania Coronado; David Rincon; Muhammad Shuaib Siddiqui
Publié dans: Numéro 12, 2023
Éditeur: International Wireless Communications & Mobile Computing Conference (IWCMC 2023)
DOI: 10.5281/zenodo.7891483

AI at the extreme edge: the role of FPGAs for enabling onboard AI in space missions

Auteurs: George Lentaris, Vasileios Leon, Dimitrios Soudris [ICCS]
Publié dans: HIPEAC 2022 (WRC workshop), 2022
Éditeur: HIPEAC

Towards sharing one FPGA SoC for both low-level PHY and high-level AI/ML computing at the edge

Auteurs: Ioannis Stratakos; Elissaios Alexios Papatheofanous; Dimitrios Danopoulos; George Lentaris; Dionysios Reisis; Dimitrios Soudris
Publié dans: 2021 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), Numéro 1, 2021, Page(s) 76-81, ISBN 978-1-6654-4505-4
Éditeur: IEEE
DOI: 10.5281/zenodo.7940920

AI@EDGE: A Secure and Reusable Artificial Intelligence Platform for Edge Computing

Auteurs: Roberto Riggio, Estefanía Coronado, Neiva Linder, Adzic Jovanka, Gianpiero Mastinu, Leonardo Goratti, Miguel Rosa, Hans Dieter Schotten, Marco Pistore
Publié dans: 2021 EuCNC & 6G Summit - 6GV, 2021
Éditeur: IEEE
DOI: 10.1109/eucnc/6gsummit51104.2021.9482440

Edge Intelligence in 5G and Beyond Aeronautical Network with LEO Satellite Backhaul

Auteurs: Mafakheri, B., Yan, C., Narayanaswamy, K., Trang, I., Betz, T., Pientka, K., & Goratti, L.
Publié dans: 2023
Éditeur: 2023 EuCNC & 6G Summit (EUCNC)

Traffic simulation with human in the loop: roundabout scenario in a driving simulator

Auteurs: Previati, Giorgio; MASTINU, GIANPIERO; Campi, Elena; Gobbi, Massimiliano
Publié dans: 22nd Driving Simulation & Virtual Reality Conference & Exhibition - DSC 2023 Europe VR (DSC 2023) , Antibes, France, 06-08 September 2023, Numéro 14, 2023
Éditeur: Zenodo
DOI: 10.5281/zenodo.10136844

Compression of Activation Signals from Split Deep Neural Network

Auteurs: F. Brito, L. Silva, L. Ramalho, S. Lins, N. Linder and A. Klautau
Publié dans: 2022 IEEE Latin-American Conference on Communications (LATINCOM), 2023, ISSN 2330-989X
Éditeur: IEEE
DOI: 10.1109/latincom56090.2022.10000526

Function Placement and Acceleration for In-Network Federated Learning Services 

Auteurs: Nour El-houda Yellas (Cnam), Bernardetta Addis (Univ. Lorraine), Roberto Riggio (UNIVPM), Stefano Secci (Cnam) 
Publié dans: IFIP CNSM 2022 , 2022
Éditeur: .
DOI: 10.23919/cnsm55787.2022.9964625

A Lightweight Southbound Interface for Standalone P4-NetFPGA SmartNIC

Auteurs: Mario Patetta, Sami Taktak, Stefano Secci (Cnam)
Publié dans: 2022 1st International Conference on 6G Networking (6GNet), 2022, Page(s) 1-4
Éditeur: IEEE
DOI: 10.1109/6gnet54646.2022.9830380

Distributed Learning for Application Placement at the Edge Minimizing Active Nodes

Auteurs: C. Torres-Pérez, E. Coronado, C. Cervelló-Pastor, J. S. Camargo and M. S. Siddiqui
Publié dans: 2023 2nd International Conference on 6G Networking (6GNet), 2023, ISBN 979-8-3503-0673-6
Éditeur: IEEE
DOI: 10.1109/6gnet58894.2023.10317692

SUMO Roundabout Simulation with Human in the Loop

Auteurs: G. Previati, G. Mastinu
Publié dans: SUMO Conference Proceedings, 2023
Éditeur: SUMO Conference Proceedings
DOI: 10.52825/scp.v4i.211

An Open Dataset for Beyond-5G Data-driven Network Automation Experiments

Auteurs: Chi-Dung Phung, Nour El-houda Yellas, Salah Bin Ruba, Stefano Secci (Cnam)
Publié dans: 2022 1st International Conference on 6G Networking (6GNet), 2022, Page(s) 1-4
Éditeur: IEEE
DOI: 10.1109/6gnet54646.2022.9830292

DQN-based Intelligent Application Placement with Delay-Priority in Multi MEC Systems

Auteurs: Juan Sebastian Camargo; Estefania Coronado; Claudia Torres-Perez; Javier Palomares; Muhammad Shuaib Siddiqui
Publié dans: Numéro 11, 2023
Éditeur: EUCNC 2023
DOI: 10.5281/zenodo.7891721

Roadrunner: O-RAN-based Cell Selection in Beyond 5G Networks

Auteurs: E. Coronado, S. Siddiqui and R. Riggio
Publié dans: NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, 2022, Page(s) 1-7
Éditeur: IEEE Explore
DOI: 10.1109/noms54207.2022.9789832

A Memory Footprint Optimization Framework for Python Applications targeting Edge Devices

Auteurs: Manolis Katsaragakis; Lazaros Papadopoulos; Mario Konijnenburg; Francky Catthoor; Dimitrios Soudris
Publié dans: Journal of Systems Architecture, Numéro 9, 2023
Éditeur: Elsevier
DOI: 10.1016/j.sysarc.2023.102936

Sequence Clock: A Dynamic Resource Orchestrator for Serverless Architectures

Auteurs: Ioannis Fakinos; Achilleas Tzenetopoulos; Dimosthenis Masouros; Sotirios Xydis; Dimitrios Soudris
Publié dans: IEEE, Numéro 2, 2022
Éditeur: IEEE
DOI: 10.5281/zenodo.7941063

LSTM acceleration with FPGA and GPU devices for edge computing applications in B5G MEC

Auteurs: Dimitrios Danopoulos; Ioannis Stamoulias; George Lentaris; Dimosthenis Masouros; Ioannis Kanaropoulos; Andreas Kosmas Kakolyris; Dimitrios Soudris
Publié dans: Numéro 1, 2022
Éditeur: Springer
DOI: 10.5281/zenodo.7940970

Anomaly Detection for 5G Softwarized Infrastructures with Federated Learning

Auteurs: Nour El-houda Yellas, Salah Bin Ruba, Stefano Secci (Cnam)
Publié dans: 2022 1st International Conference on 6G Networking (6GNet), 2022
Éditeur: IEEE
DOI: 10.1109/6gnet54646.2022.9830390

Evaluating Versal ACAP and conventional FPGA platforms for AI inference

Auteurs: Aimilios Leftheriotis; Aphrodite Tzomaka; Dimitrios Danopoulos; George Lentaris; George Theodoridis; Dimitrios Soudris
Publié dans: 2023 12th International Conference on Modern Circuits and Systems Technologies (MOCAST), Numéro 9, 2023
Éditeur: IEEE
DOI: 10.5281/zenodo.8191869

Roundabouts: Traffic simulations of connected and automated vehicles - A state of the art

Auteurs: Previati, Giorgio; MASTINU, GIANPIERO; Campi, Elena; Gobbi, Massimiliano; Uccello, Lorenzo; Álvaro Varela, Daniel; Albanese, Antonino; Roccasalva, Alessandro; Santin, Gabriele; Luca, Massimiliano; Lepri, Bruno; Ferrarotti, Laura; Di Pietro, Nicola
Publié dans: ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC/CIE2023 (IDETC/CIE2023) , Boston, Massachusetts, 20-23 August 2023, Numéro 15, 2023
Éditeur: Zenodo
DOI: 10.5281/zenodo.10136656

Darly: Deep Reinforcement Learning for QoS-aware scheduling under resource heterogeneity Optimizing serverless video analytics

Auteurs: Dimitrios Giagkos; Achilleas Tzenetopoulos; Dimosthenis Masouros; Dimitrios Soudris; Sotirios Xydis
Publié dans: IEEE CLOUD 2023, Numéro 4, 2023
Éditeur: IEEE
DOI: 10.5281/zenodo.8191892

DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks

Auteurs: Daniel F. Perez-Ramirez; Carlos Pérez-Penichet; Nicolas Tsiftes; Thiemo Voigt; Dejan Kostić; Magnus Boman
Publié dans: Crossref IPSN '23: Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, Numéro 10, 2023, Page(s) 163–176, ISBN 979-8-4007-0118-4
Éditeur: -
DOI: 10.1145/3583120.3586957

FaaS and Curious: Performance implications of serverless functions on edge computing platforms

Auteurs: Achilleas Tzenetopoulos; Evangelos Apostolakis; Aphrodite Tzomaka; Christos Papakostopoulos; Konstantinos Stavrakakis; Manolis Katsaragakis; Ioannis Oroutzoglou; Dimosthenis Masouros; Sotirios Xydis; Dimitrios Soudris
Publié dans: Lecture Notes in Computer Science book series (LNTCS,volume 12761), Numéro 3, 2021, Page(s) 428–438, ISBN 978-3-030-90538-5
Éditeur: Springer
DOI: 10.5281/zenodo.7940836

Non-peer reviewed articles (3)

Machine Learning at the Mobile Edge: The Case of Dynamic Adaptive Streaming Over HTTP (DASH)

Auteurs: R. Behravesh, A. Rao, D. F. Perez-Ramirez, D. Harutyunyan, R. Riggio and M. Boman
Publié dans: IEEE Transactions on Network and Service Management, Numéro vol. 19, no. 4, 2022, Page(s) pp. 4779-4793, ISSN 1932-4537
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsm.2022.3193856

An intelligent scheduling for 5G user plane function placement and chaining reconfiguration

Auteurs: Irian Leyva-Pupo and Cristina Cervelló-Pastor
Publié dans: Computer Networks, Numéro 237, 2023, ISSN 1389-1286
Éditeur: Elsevier BV
DOI: 10.1016/j.comnet.2023.110037

DQN-based intelligent controller for multiple edge domains

Auteurs: Alejandro Llorens-Carrodeguas and Cristina Cervelló-Pastor and Francisco Valera
Publié dans: Journal of Network and Computer Applications, Numéro 218, 2023, ISSN 1084-8045
Éditeur: Academic Press
DOI: 10.1016/j.jnca.2023.103705

Monographic books (1)

Towards Sustainable and Trustworthy 6G: Challenges, Enablers, and Architectural Design

Auteurs: Ömer Bulakçı (ed.), Xi Li (ed.), Marco Gramaglia (ed.), Anastasius Gavras (ed.), Mikko Uusitalo (ed.), Patrik Rugeland (ed.), Mauro Boldi (ed.)
Publié dans: Towards Sustainable and Trustworthy 6G: Challenges, Enablers, and Architectural Design, 2023, ISBN 978-1-63828-238-9
Éditeur: Now Publishers
DOI: 10.1561/9781638282396

Other (4)

5G PPP Architecture Working Group - View on 5G Architecture, Version 4.0

Auteurs: Gavras, Anastasius; Bulakci, Ömer; Gramaglia, Marco; Iordache, Marius; Ghoraishi, Mir; Garcia, Antonio; Cogalan, Tezcan; Gutiérrez, Jesús; Tzanakaki, Anna; Warren, Dan; Li, Xi; Landi, Giada; Mangues, Josep; Tsagkaris, Kostas; Frascolla, Valerio; Lee, Haeyoung
Publié dans: Numéro 3, 2021
Éditeur: 5G-PPP White paper
DOI: 10.5281/zenodo.5155657

Quantitative and Qualitative Evaluation of Reinforcement Learning Policies for Autonomous Vehicles

Auteurs: Ferrarotti, Laura; Luca, Massimiliano; Santin, Gabriele; Previati, Giorgio; Mastinu, Gianpiero; Campi, Elena; Uccello, Lorenzo; Albanese, Antonino; Zalaya, Praveen; Roccasalva, Alessandro; Lepri, Bruno
Publié dans: -, Numéro 7, 2023
Éditeur: -
DOI: 10.48550/arxiv.2309.08254

Beyond 5G/6G KPI Measurements

Auteurs: Dieudonne, Michael, Wang, Hua, Mesogiti, Ioanna, & Kosmatos, Evangelos.
Publié dans: 2023
Éditeur: Zenodo
DOI: 10.5281/zenodo.7963247

Beyond 5G/6G KPIs and Target Values

Auteurs: Nielsen, Lars; Gavras, Anastasius; Dieudonne, Michael; Mesogiti, Ioanna; Roosipuu, Priit; Houatra, Drissa; Kosmatos, Evangelos
Publié dans: Numéro 3, 2022
Éditeur: White paper
DOI: 10.5281/zenodo.6577505

Peer reviewed articles (4)

Robust Access Point Clustering in Edge Computing Resource Optimization

Auteurs: Nour-El-Houda Yellas, Selma Boumerdassi, Alberto Ceselli, Bilal Maaz, Stefano Secci
Publié dans: IEEE Transactions on Network and Service Management, 2022, ISSN 1932-4537
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsm.2022.3186856

AI@EDGE: A Secure and Reusable Artificial Intelligence Platform for Edge Computing

Auteurs: Roberto Riggio; Estefania Coronado; Neiva Linder; Adzic Jovanka; Gianpiero Mastinu; Leonardo Goratti; Miguel Rosa; Hans Schotten; Marco Pistore
Publié dans: 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), Numéro 1, 2021, Page(s) 610-615, ISSN 2575-4912
Éditeur: IEEE
DOI: 10.5281/zenodo.7867885

An AI-empowered framework for cross-layer softwarized infrastructure state assessment

Auteurs: Alessio Diamanti (Cnam), José Sanchez Vilchez (Orange), Stefano Secci (Cnam)
Publié dans: IEEE Transactions on Network and Service Management, 2022, ISSN 1932-4537
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TNSM.2022.3161872

Zero Touch Management: A Survey of Network Automation Solutions for 5G and 6G Networks

Auteurs: E. Coronado [I2CAT], R. Behravesh [FBK], T. Subramanya, A. Fernández-Ferńandez ,[I2CAT] S. Siddiqui [I2CAT], X. Costa-Pérez [I2CAT], and R. Riggio [UNIVPM]
Publié dans: IEEE Communications Surveys & Tutorials, 2022, ISSN 1553-877X
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/comst.2022.3212586