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CORDIS - Resultados de investigaciones de la UE
CORDIS

A distributed data-mining software platform for extreme data across the compute continuum

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

Use-case requirements (se abrirá en una nueva ventana)

Report including the specification of the use-case requirements.

Data infrastructure and data mining framework requirements (se abrirá en una nueva ventana)

Report including the specification of the Data infrastructure and Data mining framework.

First release of the EXTRACT data infrastructure and data mining framework (se abrirá en una nueva ventana)

First release of software components of the data infrastructure and framework. Complete specification and APIs.

Project management plan and quality guidelines (se abrirá en una nueva ventana)

Report of main project procedures (contractual framework, governance, monitoring, internal communication, etc.) and standards and quality procedures.

First release of the data-driven orchestration and monitoring (se abrirá en una nueva ventana)

Prototype of orchestra-tor and monitoring with limited functionality and a report describing it.

Compute Continuum Specification and first integration plan (se abrirá en una nueva ventana)

Requirements and early design of the EXTRACT compute continuum abstraction layer and the initial integration plan.

Dissemination, exploitation and community building report (se abrirá en una nueva ventana)

Description of the activities performed in the first period, and the list of foreseen training materials and actions, based on Phase 1 requirement.

Updated dissemination, exploitation and community building, and first sustainability report (se abrirá en una nueva ventana)

Description of the activities performed and update on the initial plan covering the Phase 2, establishing new objectives and actions if needed.

Data-driven orchestration requirements (se abrirá en una nueva ventana)

Description of: (1) workflow and continuum in-formation for orchestration, (2) orchestration and monitoring architecture and (3) software components selection.

First release of the EXTRACT use-cases (se abrirá en una nueva ventana)

First released of the PER and TASKA use-cases developed with the EXTRACT technology at Phase 2, and a report describing them.

First release of the Compute Continuum and final integration plan (se abrirá en una nueva ventana)

D4.2 defines the first architecture and deployment of the EXTRACT compute continuum abstraction layer and the EXTRACT platform.

Data Management Plan (se abrirá en una nueva ventana)

Report data management from internal/external point of view, including a table specifying data exploitation, shared for verification and reuse. Updates will be provided if need.

Publicaciones

Glider: Serverless Ephemeral Stateful Near-Data Computation (se abrirá en una nueva ventana)

Autores: Daniel Barcelona-Pons, Pedro García-López, and Bernard Metzler.
Publicado en: Middleware '23: Proceedings of the 24th International Middleware Conference, 2023, ISBN 979-8-4007-0177-1
Editor: Association for Computing Machinery
DOI: 10.1145/3590140.3629119

Scaling a Variant Calling Genomics Pipeline with FaaS (se abrirá en una nueva ventana)

Autores: Aitor Arjona, Arnau Gabriel-Atienza, Sara Lanuza-Orna, Xavier Roca-Canals, Ayman Bourramouss, Tyler K. Chafin, Lucio Marcello, Paolo Ribeca, and Pedro García-López
Publicado en: 9th International Workshop on Serverless Computing, 2023, ISBN 979-8-4007-0455-0
Editor: ACM
DOI: 10.1145/3631295.3631403

Multi-party Computation for Privacy and Security in Machine Learning: a Practical Review (se abrirá en una nueva ventana)

Autores: Alessandro Bellini, Emanuele Bellini, Massimo Bertini, Doaa Almhaithawi, Stefano Cuomo
Publicado en: 2023 IEEE International Conference on Cyber Security and Resilience (CSR), 2023, ISBN 979-8-3503-1170-9
Editor: IEEE
DOI: 10.1109/CSR57506.2023.10224826

Is Performance of Object Storage Predictable for Serverless I/O Workloads? A Comparative Study (se abrirá en una nueva ventana)

Autores: G. Eizaguirre and M. Sanchez-Artigas
Publicado en: Cloud-Edge Continuum Workshop 2023 (IEEE 31st International Conference on Network Protocols, 2023, ISBN 979-8-3503-0322-3
Editor: IEEE Computer Society
DOI: 10.1109/ICNP59255.2023.10355617

Corrigendum to “MLLess: Achieving Cost Efficiency in Serverless Machine Learning Training (se abrirá en una nueva ventana)

Autores: Pablo Gimeno Sarroca, Marc Sánchez-Artigas
Publicado en: Journal of Parallel and Distributed Computing, Edición 183, 2024, ISSN 0743-7315
Editor: Elsevier Inc.
DOI: 10.48550/arXiv.2206.05786

Semantic Segmentation of Solar Radio Spikes at Low Frequencies (se abrirá en una nueva ventana)

Autores: Pearse C Murphy, Stéphane Aicardi, Baptiste Cecconi, Carine Briand, Thibault Peccoux
Publicado en: The Open Journal of Astrophysics, Edición 7, 2024, ISSN 0000-0000
Editor: Maynooth Academic Publishing
DOI: 10.48550/ARXIV.2403.08546

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