If you are a factory operator dealing with latency when your shop-floor sensors send data to the cloud for processing — this project developed a fog-to-cloud management platform tested in real-world field trials that coordinates computing between local devices and remote servers. It was validated across two iterations with 15 consortium partners, 11 of them from industry.
Smart Software That Coordinates Computing Between Your Devices and the Cloud
Imagine your company runs dozens of sensors, cameras, or smart devices — and right now all their data has to travel all the way to a distant cloud server before anything useful happens. That creates delays and eats bandwidth. mF2C built a management system that lets your nearby devices handle the urgent work locally (that's the "fog" part) while the cloud still handles the heavy lifting. Think of it like having a local manager on the factory floor who makes quick decisions, instead of sending every question up to headquarters.
What needed solving
Companies running IoT devices, sensors, or distributed systems waste bandwidth and suffer latency because all data processing happens in distant cloud servers. As the number of connected devices grows exponentially, this centralized model becomes a bottleneck — too slow for real-time decisions and too expensive for massive data transfers.
What was built
The project built an open, decentralized management platform that coordinates computing between local "fog" devices and remote cloud servers. It includes resource orchestration, SLA management, brokerage, security, and data storage components — all validated through field trials across two iterations, producing 31 deliverables including a working proof-of-concept system.
Who needs this
Who can put this to work
If you are a telecom provider dealing with the challenge of orchestrating resources across thousands of edge nodes and central data centers — this project developed an open, decentralized management system with SLA policies and resource orchestration. The platform was built and field-tested by a consortium spanning 7 countries with 73% industry participation.
If you are managing a fleet of connected vehicles or city-wide sensor networks and struggling with real-time decision-making at the edge — this project developed a secure, multi-party platform for coordinating fog and cloud resources. It delivered 31 technical outputs including a proof-of-concept system validated in real-world use cases.
Quick answers
What would it cost to adopt this fog-to-cloud management system?
The mF2C platform was developed as an open management ecosystem. Specific licensing fees or subscription costs are not detailed in the available project data. Contact the coordinator (ATOS Spain) for current commercialization terms and pricing models.
Can this scale to handle our enterprise-level infrastructure?
The system was designed for distributed environments with exponentially growing device counts. It was tested in real-world use cases across two validation iterations with 15 partners. However, the project delivered a proof-of-concept — scaling to full enterprise production would require further engineering.
What is the IP situation — can we license or integrate this?
mF2C was funded as a Research and Innovation Action (RIA), meaning IP typically stays with the consortium partners. ATOS Spain coordinated the project with 11 industry partners. Licensing arrangements would need to be negotiated with the relevant IP holders in the consortium.
How does this handle security and privacy across distributed devices?
Security and privacy were core design goals. The project explicitly developed privacy and security measures as part of its decentralized management system. Based on available project data, the platform includes built-in security for multi-party environments where different organizations share computing resources.
How long would integration take with our existing cloud setup?
The project ran for 3 years (2017-2019) and produced 31 deliverables including a working proof-of-concept. Integration timelines would depend on your current infrastructure, but the system was designed to work as an open, extensible layer on top of existing cloud and fog resources.
Is this still actively maintained or supported?
The project ended in December 2019. ATOS Spain, a major IT services company, led the consortium. Based on available project data, ongoing maintenance or commercial support would need to be confirmed directly with ATOS or other consortium members who may have continued development.
Who built it
The mF2C consortium is heavily industry-oriented at 73% (11 out of 15 partners), which is a strong signal that the technology was designed with commercial deployment in mind. ATOS Spain, a major global IT services provider, led the project — giving the results a credible path to market through an established enterprise channel. The consortium spans 7 countries (CH, DE, ES, IE, IT, SI, UK) and includes 5 SMEs alongside 2 universities and 2 research organizations, suggesting a balance between cutting-edge research and practical business application. For a buyer, this means the technology was shaped by companies that understand real operational constraints, not just academic theory.
- ATOS SPAIN SACoordinator · ES
- SIXSQ SAparticipant · CH
- XLAB RAZVOJ PROGRAMSKE OPREME IN SVETOVANJE DOOparticipant · SI
- TECHNISCHE UNIVERSITAET BRAUNSCHWEIGparticipant · DE
- UNITED KINGDOM RESEARCH AND INNOVATIONparticipant · UK
- UNIVERSITAT POLITECNICA DE CATALUNYAparticipant · ES
- WORLDSENSING SLthirdparty · ES
- INTEL RESEARCH AND DEVELOPMENT IRELAND LIMITEDparticipant · IE
- ATOS CONSULTING CANARIAS SA UNIPERSONALthirdparty · ES
- WORLDSENSING LIMITEDparticipant · UK
- BARCELONA SUPERCOMPUTING CENTER CENTRO NACIONAL DE SUPERCOMPUTACIONparticipant · ES
ATOS Spain SA coordinated this project. SciTransfer can facilitate an introduction to the right technical contact.
Talk to the team behind this work.
Want to explore how fog-to-cloud computing could reduce latency and bandwidth costs in your operations? SciTransfer can connect you with the mF2C team and help assess fit for your infrastructure.