Innovating Works

CloudButton

Financiado
Serverless Data Analytics Platform
This project is inspired by the following sentence from a professor of computer graphics at UC Berkeley : Why is there no cloud button? He outlined how his students simply wish they could easily push a button and have their code –... This project is inspired by the following sentence from a professor of computer graphics at UC Berkeley : Why is there no cloud button? He outlined how his students simply wish they could easily push a button and have their code – existing, optimized, single-machine code – running on the cloud. The main goal is to create CloudButton: a Serverless Data Analytics Platform. CloudButton will democratize big data by overly simplifying the overall life cycle and programming model thanks to serverless technologies. To demonstrate the impact of the project, we target two settings with large data volumes: bioinformatics (genomics, metabolomics) and geospatial data (LiDAR, satellital). To achieve these ambitious objectives, CloudButton defines the following goals: 1. High Performance Serverless Run-time: We will create the first FaaS compute run-time for Big Data analytics leveraging Apache OpenWhisk. The proposed serverless big data analytics platform will be based on a mature open source code base (Apache OpenWhisk) augmented with Apache Open Whisk Composer. 2. Mutable Shared Data Middleware for Serverless Computing: We will create Distributed Mutable Data Structures leveraging RedHat Infinispan In-Memory Data Grid. Our middleware will provide language-level constructs for data persistence, dependability and concurrency control to serverless functions. 3. CloudButton Toolkit: Serverless Data Analytics Platform: The toolkit will implement on top of [1] and [2] the Serverless Cloud Programming Abstractions that can express a wide range of existing data-intensive applications with minimal changes. We will develop new tools and methodologies to port existing data-intensive applications from the HPC, data analytics and machine learning domains to the CloudButton toolkit. ver más
30/06/2022
URV
4M€
Duración del proyecto: 43 meses Fecha Inicio: 2018-11-12
Fecha Fin: 2022-06-30

Línea de financiación: concedida

El organismo H2020 notifico la concesión del proyecto el día 2022-06-30
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
ICT-12-2018-2020: Big Data technologies and extreme-scale analytics
Cerrada hace 6 años
Presupuesto El presupuesto total del proyecto asciende a 4M€
Líder del proyecto
UNIVERSIDAD ROVIRA I VIRGILI No se ha especificado una descripción o un objeto social para esta compañía.
Total investigadores 7