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.

PrEstoCloud Webinar
On November 29, 2019 at 5 p.m. CET the PrEstoCloud Webinar will take place. It can be joined via website: https://h2020prestocloudproject.clickmeeting.com/prestocloud OBJECTIVE: Nowadays, different types...
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Plenary Meeting in Nice
The plenary meeting held in Nice on November 5-8, 2019 was organized by Activeeon. The last meeting focused on the results of the work packages...
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Plenary meeting in Athens
The plenary meeting held in Athens on September 12-13, 2019 was organized by UBITECH. In the course of the previous F2F meeting in Niŝ, this...
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PrEstoCloud Webinar
Date: Friday, September 6, 2019 Time: 05:00 PM CET Joining via website: https://prestocloud.clickmeeting.com/prestocloud Objective of the Webinar: The modern software engineering PrEstoCloud solution tends to...
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M2EC 2020 Workshop
Following the successful organisation of Multi-Clouds and Mobile Edge computing (M2EC) in 2019 in Japan, we are happy to announce M2EC 2020, which will take...
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International Workshop on Autonomic High Performance Computing (AHPC 2019)
The PrEstoCloud project team work benefited from the discussion within the 2019 International Workshop on Autonomic High Performance Computing (AHPC 2019) organized and chaired by...
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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