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

Projektinformationen

EXTRACT

ID Finanzhilfevereinbarung: 101093110

DOI

10.3030/101093110

Projekt abgeschlossen

EK-Unterschriftsdatum 16 November 2022

Startdatum 1 Januar 2023

Enddatum 31 Dezember 2025

Finanziert unter

• Digital, Industry and Space

Gesamtkosten

€ 4 997 875,00

EU-Beitrag

€ 4 997 875,00

Koordiniert durch

BARCELONA SUPERCOMPUTING CENTER CENTRO NACIONAL DE SUPERCOMPUTACION
Spain

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

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.

Veröffentlichungen

Conference proceedings (4)

Glider: Serverless Ephemeral Stateful Near-Data Computation

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

Scaling a Variant Calling Genomics Pipeline with FaaS

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

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

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

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

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

Peer reviewed articles (2)

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

Autoren: Pablo Gimeno Sarroca, Marc Sánchez-Artigas
Veröffentlicht in: Journal of Parallel and Distributed Computing, Ausgabe 183, 2024, ISSN 0743-7315
Herausgeber: Elsevier Inc.
DOI: 10.48550/arXiv.2206.05786

Semantic Segmentation of Solar Radio Spikes at Low Frequencies

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