Raul Sirvent Pardell

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...

The biggest challenge in understanding the brain is being able to understand how its different levels of organisation relate to each other,hierarchically, spatially and temporally. This means identifying how genetic, molecular and cellular principles of organisation are translated intobrain activity, cognition and behaviour. It also involves deciphering how behaviour, disease...

As a result of HBP SGA-1, the Qbeast framework enables to achieve the concept of interactive supercomputing and in-situ techniques to break traditional workflows in HPC simulations, converting them into more dynamic and adaptive to the needs of scientists. As a long term project, the HBP does not include in its current work plan the exploitation of such relatively small...

Real time data analytics, Data stream analysis, Scalability, Data visualization, Very large data basesOrganizations leverage data pools to drive value, while it is variety, not volume or velocity, which drives big-data investments. The convergence of IoT, cloud, and big data, create new opportunities for self-service analytics towards a completely paradigm towards big data...