CLASS - Edge and CLoud Computation: A Highly Distributed Software Architecture for Big Data AnalyticS
Last updated: 2021-10-27 03:18
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Stakeholders
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COMUNE DI MODENA (Italy) -
BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION (Spain) -
IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD (Israel) -
UNIVERSITA DEGLI STUDI DI MODENA E REGGIO EMILIA (Italy)
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ATOS SPAIN SA (Spain)
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MASERATI SPA (Italy)
Public Sector
Academic/Research Organisations
Industry
Strategic Goals
Big data applications processing extreme amounts of complex data are nowadays being integrated with even more challenging requirements such as the need of continuously processing vast amount of information in real-time.
Solutions Developed / Used
CLASS aims to develop a novel software architecture to help big data developers to combine data-in-motion and data-at-rest analysis by efficiently distributing data and process mining along the compute continuum (from edge to cloud) in a complete and transparent way, while providing sound real-time guarantees.
Description
Start Date
01/01/2018
End Date
31/12/2020
Project Focus
- Enabler
Geographical Scope
- European
Keywords
- Cloud
- Edge
Cloud Delivery Model
- PaaS
Project Life-Cycle Stage
- Research and Innovation
Industry
- Information and Communication
- Transport
Industry
- Mobility
- Small and Medium Enterprises (SMEs)
Technology
- Artificial Intelligence / Machine Learning
- Big Data
- Edge Computing