Our 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).
We will create the first FaaS compute run-time for Big Data analytics, overcoming the current limitations of existing serverless platforms.
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.
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.
Open Source software results for the CloudButton project.
A multi-cloud framework for big data analytics and embarrassingly parallel jobs in the cloud
High-performance stateful serverless runtime based on WebAssembly
Stateful Distributed Applications over Function-as-a-Service Platforms
Serverless technologies can overcome scaling limitations of research centres computational resources, improving the scalability and productivity when processing large datasets.
Expand the analysis of metabolomics raw data and boost external access and efficient re-use of open data.
Conduct geospatial analyses in order to increase productivity, scalability and performance of relevant environmental applications using open access LiDAR and satellite data.
The CloudButton consortium is a well-balanced team of industrial and academic partners:
CloudButton contributes to Big Data Value Public-Private Partnership activities:
|Project title||CloudButton: Serverless Data Analytics Platform|
|Grant agreement ID||825184|
Universitat Rovira i Virgili (Spain)
IBM Israel - Science and Technology LTD (Israel)
Imperial College London (United Kingdom)
Institute Mines-Télécom (France)
Red Hat Limited (Ireland)
European Molecular Biology Laboratory (Germany)
Atos Spain SA (Spain)
The Pirbright Institute (United Kingdom) [Participation ended]
Answaretech SL (Spain) [Participation ended]
Fundación Matrix, Investigación y Desarrollo Sostenible (Spain)
The James Hutton Institute (United Kingdom)
|Duration||January 2019 - March 2022|
Horizon 2020 Framework Programme (H2020) >
PRIORITY 'Industrial leadership' >
Leadership in enabling and industrial technologies >
Information and Communication Technologies (ICT)
|Topic||ICT-12-2018-2020 - Big Data technologies and extreme-scale analytics|
|Funding scheme||RIA - Research and Innovation action|