Telematics 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 surveillance solution combines real-time data streams from cameras and pre-processing results from groups of unmanned aerial vehicles.

Media 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.

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 Athens
A PrEstoCloud meeting was held on 16-18 May 2018 in Athens, Greece. Further steps towards project implementation were discussed. A special focus was on use...
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Presenting PrEstoCloud early results at CLOSER 2018 in Madeira, Portugal
PrEstoCloud participated with a full paper in the 2018 CLOSER conference that took place in Madeira, Portugal, on the 19, 20 and 21 of March...
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PrEstoCloud project in “ISS-CLOUD”
PrEstoCloud project is organizing the 2nd special session / workshop entitled “Intelligent systems and services for cloud accessible, data-intensive computing, ISS-CLOUD” in the 8th IEEE...
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Ljubljana – March 8, 2018
CVS mobile successfully presented PrEstoCloud project at networking event in Ljubljana in partnership with Continental group.
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Meeting in Cannes
A PrEstoCloud project meeting was hosted by CNRS in Cannes, France on February 6-8, 2018. The consortium extensively discussed the comments resulting from the first...
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Paris Open Source Summit 2017
The Paris Open Source Summit, the leading European event about free and open source software, occurred on 5-6 December, 2017. Its ambition is to expose...
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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.