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CORDIS - Risultati della ricerca dell’UE
CORDIS

Autopoietic Cognitive Edge-cloud Services

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

ACES kernel components (si apre in una nuova finestra)
2nd Communication, Networking Plan, Dissemination Strategy Report (si apre in una nuova finestra)

The deliverable contains the first (after the first reporting period) overview of the communication, networking, and dissemination activities carried out during the project and the communication materials produced.

ACES Data and Knowledge model (si apre in una nuova finestra)
ACES brochure and public website (si apre in una nuova finestra)
1st Communication, Networking Plan, Dissemination Strategy Report (si apre in una nuova finestra)

This deliverable will describe the plans for all dissemination, communication, and community-building tasks of WP6, building on the strategy already outlined in Section 2.2.2. Dissemination, communication, impact promotion, open source, standardisation, and liaison activities will be covered. Additionally, D6.2 will include summary reports on initial project work of relevance (e.g., liaisons with CSAs, project clusters, and other initiatives) performed before the deliverable submission date. The delivered plans are to be understood as an ongoing, project live document and will be updated on the subsequent Communication, Networking Plan, and Dissemination Strategy Report deliverables, due at M12, M24, and M36.

Action language and library. (si apre in una nuova finestra)
1st Report on Standards and Recommendation on AI enabled edge services (si apre in una nuova finestra)

The deliverable describes the liaison of the project with standardisation bodies and organisations to share knowledge, identify emerging standardization activities and recommendations and make sure that project results are in line with recognised standards in the domain of AI-enabled edge services.

Goal representations corresponding to SLAs and SLOs for use in AI-/ML-/swarm-based methodology realizing autonomy and actionability (si apre in una nuova finestra)

Goal representations corresponding to SLAs and SLOs for use inAI-/ML-/swarm-based methodology realizing autonomy andactionability

Cross-level inter-agent knowledge model (si apre in una nuova finestra)

It will be proposed a novel model for representing and storing heterogeneous data, acquired by possible different sources. The data representation model should satisfy the requirements of the agents, that will need specific information to update their internal states. Indeed, it will also be designed and tested the internal model that an agent keeps of itself, and which kind of model it keeps of other agents (within the Cognitive Edge-Services Cloud infrastructure). Ideally, the model of other agents should be a simplified/abstracted version of the model the agent keeps of itself multi-layer perception.

ACES architecture definition (si apre in una nuova finestra)

Pubblicazioni

Automatic Parallelization of Software Network Functions

Autori: Pereira, Francisco; Ramos, Fernando M. V.; Pedrosa, Luis
Pubblicato in: 2023
Editore: NSDI '24 Open Access

Using Range-Revocable Pseudonyms to Provide Backward Unlinkability in the Edge (Extended Version) (si apre in una nuova finestra)

Autori: Correia, Cláudio; Correia, Miguel; Rodrigues, Luís
Pubblicato in: 2023, ISBN 979-8-4007-0050-7
Editore: CCS '23: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
DOI: 10.1145/3576915.3623111

PoTR: Accurate and Efficient Proof of Timely-Retrievability for Storage Systems (si apre in una nuova finestra)

Autori: Cláudio Correia, Rita Prates, Miguel Correia, Luís Rodrigues
Pubblicato in: 2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing (PRDC), Numero 27, 2024
Editore: IEEE
DOI: 10.1109/PRDC59308.2023.00023

FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning (si apre in una nuova finestra)

Autori: Fereidooni, Hossein; Pegoraro, Alessandro; Rieger, Phillip; Dmitrienko, Alexandra; Sadeghi, Ahmad-Reza
Pubblicato in: 2024
Editore: The Network and Distributed System Security Symposium
DOI: 10.48550/arxiv.2312.04432

FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks (si apre in una nuova finestra)

Autori: Jorge Castillo; Phillip Rieger; Hossein Fereidooni; Qian Chen; Ahmad Sadeghi
Pubblicato in: The Network and Distributed System Security Symposium, 2023
Editore: FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks, in Annual Computer Security Applications Conference
DOI: 10.48550/arxiv.2310.02113

AI-based fog and edge computing: A systematic review, taxonomy and future directions (si apre in una nuova finestra)

Autori: Sundas Iftikhar, Sukhpal Singh Gill, Chenghao Song, Minxian Xu, Mohammad Sadegh Aslanpour, Adel N. Toosi, Junhui Du, Huaming Wu, Shreya Ghosh, Deepraj Chowdhury, Muhammed Golec, Mohit Kumar, Ahmed M. Abdelmoniem, Felix Cuadrado, Blesson Varghese, Omer Rana, Schahram Dustdar, Steve Uhlig
Pubblicato in: Internet of Things, Numero 21, 2023, ISSN 2542-6605
Editore: Elsevier BV
DOI: 10.1016/j.iot.2022.100674

ProKube: Proactive Kubernetes Orchestrator for Inference in Heterogeneous Edge Computing (si apre in una nuova finestra)

Autori: Babar Ali, Muhammed Golec, Sukhpal Singh Gill, Felix Cuadrado, Steve Uhlig
Pubblicato in: International Journal of Network Management, 2024, ISSN 1055-7148
Editore: Wiley
DOI: 10.1002/nem.2298

MASTER: Machine Learning-Based Cold Start Latency Prediction Framework in Serverless Edge Computing Environments for Industry 4.0 (si apre in una nuova finestra)

Autori: Muhammed Golec, Sukhpal Singh Gill, Huaming Wu, Talat Cemre Can, Mustafa Golec, Oktay Cetinkaya, Felix Cuadrado, Ajith Kumar Parlikad, Steve Uhlig
Pubblicato in: IEEE Journal of Selected Areas in Sensors, Numero 1, 2024, ISSN 2836-2071
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/JSAS.2024.3396440

ATOM: AI-Powered Sustainable Resource Management for Serverless Edge Computing Environments (si apre in una nuova finestra)

Autori: Muhammed Golec, Sukhpal Singh Gill, Felix Cuadrado, Ajith Kumar Parlikad, Minxian Xu, Huaming Wu, Steve Uhlig
Pubblicato in: IEEE Transactions on Sustainable Computing, 2023, ISSN 2377-3782
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TSUSC.2023.3348157

EdgeBus: Co-Simulation based resource management for heterogeneous mobile edge computing environments (si apre in una nuova finestra)

Autori: Babar Ali, Muhammed Golec, Sukhpal Singh Gill, Huaming Wu, Felix Cuadrado, Steve Uhlig
Pubblicato in: Internet of Things, Numero 28, 2024, ISSN 2542-6605
Editore: Elsevier BV
DOI: 10.1016/j.iot.2024.101368

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