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fog to cloud

Towards an optimised reduction of harmful effects of all hazards

15 April 201929 April 2019 Antonio Salis

  Posted by: Denis Guilhot, Senior EU Project Manager, Worldsensing   Three real-world industrial scenarios have been designed as use cases for validation purposes of the mF2C architecture. The first use case, […]

 Blog  emergency, fog to cloud, hazards, IoT, monitoring, smart cities

Yet another mF2C paper published in Future Technologies Conference (FTC2018) Proceedings

6 November 2018 Antonio Salis

  We are happy to announce that a research paper developed under the mF2C Project, has been published in the Future Technologies Conference (FTC2018) Proceedings, volume 1. Title  “A Novel and […]

 Scientific Publications  fog to cloud, Identity Management, IDMS, Resource Identity

mF2C paper published in Future Technologies Conference (FTC2018) Proceedings

23 October 201823 October 2018 Antonio Salis

  We are delighted to announce that a research paper developed under the mF2C Project, has been published in the Future Technologies Conference (FTC2018) Proceedings, volume 1. Title  “Taxonomy and Resource […]

 Scientific Publications  fog to cloud, resources classification and organization

Euro-Par 2017 mF2C Workshop

2 March 201720 July 2017 upc

. mF2C has organized a workshop in Euro-Par 2017, The workshop deals with the different aspects related to innovative large and distributed computing scenarios that are envisioned as the natural […]

 Events, Workshops  distributed computing, Euro-Par2017, fog computing, fog to cloud, workshop
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Archive

  • Airport use case paper will be presented at IEEE Mobile data Management (MDM) 2020!

  • mF2C Project is participating in the EU Horizon Impact Award!

  • Success of the mF2C Project at the final Review meeting in Brussels!

  • Rehersal day: Preparing the final review meeting in Brussels

  • mF2C joined the Cyberwatching.eu Marketplace!


This project is participating in and leading the Future Cloud Cluster of European Projects.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730929.

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