Logistics Use Case
A vehicle/fleet management processes real-time information and alerts – based on data streams from GPS, on-board diagnostics, tire sensors and others.
Surveillance Use Case
A media prosumer platform offers personalized and flexible consumption of real-time stories by combining freelance reporting, traditional broadcasting and social media streams.
Media Use Case
A surveillance solution combines real-time data streams from cameras and pre-processing results from groups of unmanned aerial vehicles.

The European Research project PrEstoCloud targets a dynamic and distributed software architecture that manages cloud and fog resources proactively, while reaching the extreme edge of the network for an efficient real-time BigData processing.

Meeting in Dubrovnik
Meeting in Dubrovnik
A joint understanding between all project partners regarding the setting of the business use cases was reached during our 3rd very intensive face-to-face meeting on...
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Special Session at IEEE-IISA 2017
Special Session at IEEE-IISA 2017
Join us at the iSSCLOUD (Intelligent systems and services for cloud accessible, data-intensive computing) special session of the 8th International Conference on Information, Intelligence, Systems...
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Keynote on PrestoCloud at Summer School
Keynote on PrestoCloud at Summer School
Dr. Harald Schöning, Vice President Research at Software AG, will give a keynote speech on the topic of “A dynamic and distributed software architecture that...
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The goal of PrEstoCloud is to make substantial research contributions in the Cloud computing and real-time Big Data technologies in order to provide a dynamic, distributed architecture for proactive cloud resources management reaching the extreme edge of the network for efficient real-time big data processing and to deploy and validate it in several challenging, complementary and commercially-very promising use cases.

In particular, PrEstoCloud aims to combine real-time Big Data, Cloud computing and Fog computing research in a unique way in order to provide an innovative solution for, as above elaborated, very complex problem of cloud-based adaptive real-time Big Data processing.

Participants