Extreme Near-Data Processing Platform

Informazioni relative al progetto

NEARDATA

ID dell’accordo di sovvenzione: 101092644

DOI

10.3030/101092644

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

€ 3 913 585,00

Contributo UE

€ 3 913 585,00

Coordinato da

UNIVERSITAT ROVIRA I VIRGILI
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 (7)

First release of KPI benchmarks in all use cases and data connector libraries

This deliverable will describe the first validation benchmarks in the five use cases. First release of open data connectors.

Communication plan

Definition of the required process and strategy for communication activities. Description of the planned communication activities and expected progress reporting. It will also describe planned community involvement activities.

Initial Architecture Specifications

Description of use case scenarios, experiments and benchmarking framework. Initial specifications of the architecture.

Data Broker release and documentation

The deliverable will describe the architecture and functionality of the Data Broker.

Communication and standardization report

Description of the first months of standardization activities with a summary of the main achievements of the project partners. Description of the dissemination and community involvement activities with lessons learned and progress reporting.

NEARDATA Architecture Specs and Early Prototypes

Specification of the Architecture and APIs. Documentation, early tutorials, and automated tests for the early prototypes of the different software components.

XtremeHub first release and documentation

The deliverable will describe the architecture and functionality of the data connector interfaces connecting to the data sources.

Websites, patent fillings, videos etc. (1)

Public Project Website

A website will be developed in order to provide a continuous update about the project progress and the results obtained during it. All public deliverables and publications (Open Access) will be uploaded on the website.

Data Management Plan (1)

Data Management Plan

Document describing project data management strategies. The different experiments, workloads, benchmarks, and results will be delivered as Open Research Data for the community.

Pubblicazioni

Conference proceedings (10)

Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments

Autori: Kica,P., Lichołai S., Malawski M
Pubblicato in: Supercomputing23 – SC23, 2023, ISSN 0004-5411
Editore: ACM
DOI: 10.1145/3624062.3626283

On Data Processing through the Lenses of S3 Object Lambda

Autori: . Gimeno Sarroca and M. Sánchez-Artigas
Pubblicato in: IEEE INFOCOM’23, 2023, ISSN 2643-3303
Editore: IEEE
DOI: 10.1109/INFOCOM53939.2023.10228890

SinClave: Hardware-assisted Singletons for TEEs

Autori: Franz Gregor, Robert Krahn, Do Le Quoc, Christof Fetzer
Pubblicato in: Middleware ’23: Proceedings of the 24th International Middleware Conference, 2023, ISSN 0004-5411
Editore: ACM
DOI: 10.1145/3590140.3629107

A Last-Level Defense for Appli- cation Integrity and Confiden- tiality

Autori: Ardhi Putra Pratama Hartono, Andrey Brito, Christof Fetzer
Pubblicato in: Middleware ’23: Proceed- ings of the 24th International Middleware Conference, 2023, ISSN 0004-5411
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3603166.3632127

Trustworthy confidential virtual machines for the masses

Autori: Anna Galanou, Khushboo Bindlish, Luca Preibsch, Yvonne-Anne Pignolet, Christof Fetzer, Rüdiger Kapitza
Pubblicato in: Middleware ’23: Proceedings of the 24th International Middleware Conference, 2023, ISSN 0004-5411
Editore: ACM
DOI: 10.1145/3590140.3629124

Pravega: A Tiered Storage System for Data Streams

Autori: Raúl Gracia-Tinedo, Flavio Junqueira, Tom Kaitchuck, Sachin Joshi
Pubblicato in: Middleware ’23: Proceedings of the 24th International Middleware Conference, 2023, ISSN 0004-5411
Editore: ACM
DOI: 10.1145/3590140.3629113

Challenges and Opportunities for RISC-V Architectures towards Genomics-based Workloads

Autori: Gonzalo Gómez- Sánchez, Aaron call, Xavier Teruel, Lorena Alonso, Ignasi Moran, Miguel Ángel Perez, David Torrents, Josep Ll. Berral
Pubblicato in: First International workshop on RISC-V for HPC, of ISC High Performance conference, 2023, ISSN 2193-1801
Editore: Springer
DOI: 10.1007/978-3-031-40843-4_34

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, Pedro García-López
Pubblicato in: WoSC ’23: Proceedings of the 9th International Workshop on Serverless Computing, 2023, ISSN 0004-5411
Editore: ACM
DOI: 10.48550/arXiv.2312.07090

Practical Storage-Compute Elasticity for Stream Data Processing

Autori: Raúl Gracia-Tinedo, Brian Zhou, Yimin Xiong, Luis Liu
Pubblicato in: Middleware ’23: Proceedings of the 24th International Middleware Conference, 2023, ISSN 0004-5411
Editore: ACM
DOI: 10.1145/3626562.3626828

The Nanoservices Framework: Co-locating Microservices in the Cloud-Edge Continuum

Autori: Eric Caron, Raúl Gracia-Tinedo
Pubblicato in: IEEE ICNP’23, 2023, ISSN 2643-3303
Editore: IEEE
DOI: 10.1109/ICNP59255.2023.10355592

Peer reviewed articles (6)

A Seer Knows Best: Auto-tuned Object Storage Shuffling for Serverless Analytics

Autori: G. Eizaguirre and M. Sánchez-Artigas
Pubblicato in: Journal of Parallel and Distributed Computing, 2023, ISSN 1096-0848
Editore: Elsevier Inc.
DOI: 10.1145/3528535.3565241

MLLess: Achieving Cost Efficiency in Serverless Machine Learning Training

Autori: P. Gimeno Sarroca and M. Sánchez-Artigas
Pubblicato in: Journal of Parallel and Distributed Computing, 2023, ISSN 1096-0848
Editore: Elsevier Inc.
DOI: 10.48550/arXiv.2206.05786

Glider: Serverless Ephemeral Stateful Near-Data Computation

Autori: Daniel Barcelona-Pons, Pedro García-López, Bernard Metzler
Pubblicato in: Middleware ’23: Proceedings of the 24th International Middleware Conference, 2023, ISSN 0004-5411
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3590140.3629119

METASPACE-ML: Metabolite annotation for imaging mass spectrometry using machine learning

Autori: Bishoy Wadie, Lachlan Stuart, Christopher M. Rath, Theodore Alexandrov
Pubblicato in: bioRxiv, 2024, ISSN 2692-8205
Editore: bioRxiv
DOI: 10.1101/2023.05.29.542736v2

An Exhaustive Variant Interaction Analysis using Multifactor Dimensionality Reduction

Autori: Gonzalo Gómez- Sánchez, Ignasi Morán, Lorena Alonso, Miguel Ángel Pérez, David Torrents, Josep Ll. Berral
Pubblicato in: Nature Scientific Reports, 2023, ISSN 2045-2322
Editore: Nature
DOI: 10.21203/rs.3.rs-3401025

Exploiting Inherent Elasticity of Serverless in Algorithms with Unbalanced and Irregular Workloads

Autori: Gerard Finol, Pedro Garcia Lopez and M. Sánchez-Artigas
Pubblicato in: Journal of Parallel and Distributed Computing, 2023, ISSN 1096-0848
Editore: Elsevier Inc.
DOI: 10.48550/arXiv.2206.15321