Projects
La ausencia de una plataforma que incorpore datos de movilidad, indicadores de salud, indicadores socioeconómicos y medioambiente con un entorno de análisis y simulación limita en gran medida la gestión integrada de los problemas de salud en las ciudades. El objetivo global de MePreCiSa es ofrecer una solución cloud, flexible y escalable...
The COLMENA project addresses data processing challenges in the IoT landscape, where data collection predominantly occurs on IoT devices, but about 80% of processing occurs in centralized data centres. This approach leads to communication delays, high energy consumption, and underutilization of device resources. COLMENA seeks to transform this...
ASCENDER integrará las tecnologías más relevantes para permitir la aplicación de métodos de análisis de datos extremadamente grandes, en constante crecimiento, escasos, dispersos y heterogéneos. Para ello, el proyecto implementará una arquitectura software para el desarrollo, despliegue y ejecución eficiente de...
EDITO-Model Lab will prepare the next generation of ocean models, complementary to Copernicus Marine Service to be integrated into the EU public infrastructure of the European Digital Twin Ocean (EDITO) that will ensure access to required input and validation data (from EMODnet, EuroGOOS, ECMWF, Copernicus Services and Sentinels satellite observations) and to high-performance...
As of today, 80% of the data processing and analysis occurs in cloud data centers, and only 20% of processing occurs at the edge. This incipient exploitation of edge resources increases time to value and prevents business processes, decisions, and intelligence from being taken outside of the data center, which prevents Europe from unlocking an entire set of new opportunities...
The main goal is to design an Extreme near-data platform to enable consumption, mining and processing of distributed and federated data without needing to master the logistics of data access across heterogeneous datalocations and pools. We go beyond traditional passive or bulk data ingested from storage systems towards next generation near-data processing platforms both in...
Data has become one of the most valuable assets, driving the digital transformation across many sectors. Current data mining solutions are optimized to deal with specific data requirements, but fail to cope as the data characteristics become extreme. There is therefore an urgent need for novel and holistic approaches to enable the development, deployment and efficient...
Vitamin-V aims to develop a complete RISC-V open-source software stack for cloud services with iso-performance to its clouddominantx86 counterpart and a powerful virtual execution environment for software development, validation, verification, and test that considers the relevant RISC-V ISA extensions for cloud deployment. Specifically, commercial cloud systems make use of...
Building on the EPI and EUPilot project outcomes, RISER will develop the first all-European RISC-V cloud server infrastructure, significantly enhancing Europe's genuine strategic autonomy. RISER will leverage and validate open hardware high-speed interfaces combined with a fully-featured operating system environment and runtime system, enabling the integration of low-power...
CloudStars is an Open Source Research Mobility network in the field of Cloud Computing technology. The proposal combines twelve academic institutions in seven European countries (Spain, Germany, Netherlands, Italy, Austria, Poland, Switzerland), two academic institutions in third-party countries (Ecuador, Argentina), and three industrial laboratories from IBM (USA,...