Dynamic Intelligent Aggregation Service

Real-time data analytics, highly adaptive, truly decentralized. Made by citizens for citizens.

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as it can operate in unreliable environments with rapidly changing input data.

thanks to an intelligent memory system that guarantees accurate measurements.

concerns the computation of several large-scale collective measurements.

as it can be used by different techno-socio-economic applications.

Truly Decentralized Big Data Analytics

Applications
Application examples from future and past
Services
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How it Works

Choose what information to stream into the DIAS network.
Receive back collective information about all participating users.
Increase awareness, adapt your input information and influence the world.

Application Example

Final V6.1
1. Connect your smart meter that monitors the energy consumption to the DIAS network.
2. Receive back real-time information about the total load in the Smart Grid.
Final V7.1
Final V9.1
3. Adjust the energy consumption and contribute to the prevention of a blackout or to higher use of renewable resources.

An alternative to the surveillance, discriminatory and highly commercialized practices of current Big Data analytics.

Features

Data Streaming Analytics
One algorithm, one system, several collective measurements such as summation, average, standard deviation, maximum, minimum, top-k, and other.
Real-time adaptation
Analytics can be accurately computed in real-time even under rapid changes in the input data thanks to a distributed and intelligent memory system.
Privacy-by-design
Efficient and privacy-preserving local storage of input data. Whatever is local, stays local.
Participatory crowd-sourced computations
No need for a mainframe computing, data center or a cloud infrastructure. It works with users’ computational resources such as a personal computer.
Applications & Services
Prediction of rare and extreme events in Smart Cities, coordination of regulatory actions in Smart Grids, spread of opinion dynamics, electronic voting and other applications of environmental monitoring, social sensing and infrastructural sensing.