29 March 2022

Online workshop on “Processing Data in the Fog – The example of the RAINBOW Fog Computing platform”

On Monday April 4, 2022 at 16:00 CET the Data & Web Science Laboratory, Aristotle University of Thessaloniki in the framework of its MSc programme “Data & Web Science” is organizing an online workshop on “Processing Data in the Fog – The example of the RAINBOW Fog Computing platform” with the support of the RAINBOW project.

The workshop includes five presentation sessions with guest speakers from UBITECH Ubiquitous Solutions Ltd, the Laboratory for Internet Computing at the University of Cyprus, the Department of Computer Science at the University of Nicosia, and also researchers from the Data and Web Science Laboratory at Aristotle University of Thessaloniki.

During the workshop there will be a tour of work related to distributed data management and analytics, as well as presentations of concrete examples based on the innovations developed by RAINBOW and aimed at addressing the challenges of Edge and Fog Computing.

The agenda concerning the workshop is here: https://rainbow-h2020.eu/online-workshop-on-processing-data-in-the-fog-the-example-of-the-rainbow-fog-computing-platform/

Participation is open but free registration is mandatory. You can register here: https://forms.gle/fAa1dcmxNwwWX7cK8


The vision of RAINBOW is to design and develop an open and trusted fog computing platform that facilitates the deployment and management of scalable, heterogeneous and secure IoT services and cross-cloud applications (i.e., microservices).

RAINBOW falls within the bigger vision of delivering a platform enabling users to remotely control the infrastructure that is running, potentially, on hundreds of edge devices (e.g., wearables), thousands of fog nodes in a factory building or flying in the sky (e.g., drones), and millions of vehicles travelling in a certain area or across Europe.

RAINBOW aspires to enable fog computing to reach its true potential by providing the deployment, orchestration, network fabric and data management for scalable and secure edge applications, addressing the need to timely process the ever-increasing amount of data continuously gathered from heterogeneous IoT devices and appliances. The developed solution will provide significant benefits for popular cloud platforms, fog middleware, and distributed data management engines, and will extend the open-source ecosystem by pushing intelligence to the network edge while also ensuring security and privacy primitives across the device-fog-cloud-application stack.

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RAINBOW has received funding from the European Union’s Horizon 2020 framework programme for research and innovation under grant agreement No. 871403.

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