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

Informazioni relative al progetto

EXTRACT

ID dell’accordo di sovvenzione: 101093110

DOI

10.3030/101093110

Data della firma CE 16 Novembre 2022

Data di avvio 1 Gennaio 2023

Data di completamento 31 Dicembre 2025

Finanziato da

• Digital, Industry and Space

Costo totale

€ 4 997 875,00

Contributo UE

€ 4 997 875,00

Coordinato da

BARCELONA SUPERCOMPUTING CENTER CENTRO NACIONAL DE SUPERCOMPUTACION
Spain

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

Documents, reports (9)

Use-case requirements

Report including the specification of the use-case requirements.

Data infrastructure and data mining framework requirements

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

First release of the EXTRACT data infrastructure and data mining framework

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

Project management plan and quality guidelines

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

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

Compute Continuum Specification and first integration plan

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

Dissemination, exploitation and community building report

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

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

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

Other (2)

First release of the EXTRACT use-cases

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

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

Data Management Plan (1)

Data Management Plan

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.

Pubblicazioni

Conference proceedings (4)

Glider: Serverless Ephemeral Stateful Near-Data Computation

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

Scaling a Variant Calling Genomics Pipeline with FaaS

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

Multi-party Computation for Privacy and Security in Machine Learning: a Practical Review

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

Is Performance of Object Storage Predictable for Serverless I/O Workloads? A Comparative Study

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

Peer reviewed articles (2)

Corrigendum to “MLLess: Achieving Cost Efficiency in Serverless Machine Learning Training

Autori: Pablo Gimeno Sarroca, Marc Sánchez-Artigas
Pubblicato in: Journal of Parallel and Distributed Computing, Numero 183, 2024, ISSN 0743-7315
Editore: Elsevier Inc.
DOI: 10.48550/arXiv.2206.05786

Semantic Segmentation of Solar Radio Spikes at Low Frequencies

Autori: Pearse C Murphy, Stéphane Aicardi, Baptiste Cecconi, Carine Briand, Thibault Peccoux
Pubblicato in: The Open Journal of Astrophysics, Numero 7, 2024, ISSN 0000-0000
Editore: Maynooth Academic Publishing
DOI: 10.48550/ARXIV.2403.08546