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CORDIS - Resultados de investigaciones de la UE
CORDIS

Autopoietic Cognitive Edge-cloud Services

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

ACES kernel components (se abrirá en una nueva ventana)
2nd Communication, Networking Plan, Dissemination Strategy Report (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)
ACES brochure and public website (se abrirá en una nueva ventana)
1st Communication, Networking Plan, Dissemination Strategy Report (se abrirá en una nueva ventana)

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. (se abrirá en una nueva ventana)
1st Report on Standards and Recommendation on AI enabled edge services (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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

Cross-level inter-agent knowledge model (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

Publicaciones

Automatic Parallelization of Software Network Functions

Autores: Pereira, Francisco; Ramos, Fernando M. V.; Pedrosa, Luis
Publicado en: 2023
Editor: NSDI '24 Open Access

Using Range-Revocable Pseudonyms to Provide Backward Unlinkability in the Edge (Extended Version) (se abrirá en una nueva ventana)

Autores: Correia, Cláudio; Correia, Miguel; Rodrigues, Luís
Publicado en: 2023, ISBN 979-8-4007-0050-7
Editor: 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 (se abrirá en una nueva ventana)

Autores: Cláudio Correia, Rita Prates, Miguel Correia, Luís Rodrigues
Publicado en: 2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing (PRDC), Edición 27, 2024
Editor: IEEE
DOI: 10.1109/PRDC59308.2023.00023

FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning (se abrirá en una nueva ventana)

Autores: Fereidooni, Hossein; Pegoraro, Alessandro; Rieger, Phillip; Dmitrienko, Alexandra; Sadeghi, Ahmad-Reza
Publicado en: 2024
Editor: The Network and Distributed System Security Symposium
DOI: 10.48550/arxiv.2312.04432

FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks (se abrirá en una nueva ventana)

Autores: Jorge Castillo; Phillip Rieger; Hossein Fereidooni; Qian Chen; Ahmad Sadeghi
Publicado en: The Network and Distributed System Security Symposium, 2023
Editor: 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 (se abrirá en una nueva ventana)

Autores: 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
Publicado en: Internet of Things, Edición 21, 2023, ISSN 2542-6605
Editor: Elsevier BV
DOI: 10.1016/j.iot.2022.100674

ProKube: Proactive Kubernetes Orchestrator for Inference in Heterogeneous Edge Computing (se abrirá en una nueva ventana)

Autores: Babar Ali, Muhammed Golec, Sukhpal Singh Gill, Felix Cuadrado, Steve Uhlig
Publicado en: International Journal of Network Management, 2024, ISSN 1055-7148
Editor: Wiley
DOI: 10.1002/nem.2298

MASTER: Machine Learning-Based Cold Start Latency Prediction Framework in Serverless Edge Computing Environments for Industry 4.0 (se abrirá en una nueva ventana)

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

ATOM: AI-Powered Sustainable Resource Management for Serverless Edge Computing Environments (se abrirá en una nueva ventana)

Autores: Muhammed Golec, Sukhpal Singh Gill, Felix Cuadrado, Ajith Kumar Parlikad, Minxian Xu, Huaming Wu, Steve Uhlig
Publicado en: IEEE Transactions on Sustainable Computing, 2023, ISSN 2377-3782
Editor: 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 (se abrirá en una nueva ventana)

Autores: Babar Ali, Muhammed Golec, Sukhpal Singh Gill, Huaming Wu, Felix Cuadrado, Steve Uhlig
Publicado en: Internet of Things, Edición 28, 2024, ISSN 2542-6605
Editor: Elsevier BV
DOI: 10.1016/j.iot.2024.101368

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