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Managing a hierarchical Fog-to-cloud architecture for IoT scenarios: sharing resources

Total activity: 14
Type of activity
Competitive project
Funding entity
Funding entity code
226.028,00 €
Start date
End date
In the recent years the Internet evolution has undergone a remarkable and unstoppable change of trend, rooted on four main pillars, the
advent of new technologies (cloud/fog computing, SDN, NFV, etc.), broad connectivity (4G/5G, VANET, etc.), the open data availability,
and the wide deployment of smart edge devices (smart phones, sensors, wearables, etc.), all setting the main concept for the Internet of
Things (IoT). In practice IoT encompasses smart scenarios such as those refered to as smart cities, ITS (Intelligent Transport Systems),
smart homes or e-health, whose main objective focuses on the development of new services, with a high societal impact.
From a technological perspective, the deployment of this set of envisioned new services brings in highly demanding challenges, mainly
driven by the imposed requirements linked to aspects such as fast processing capacities (fast decision-making), low latency and high
security. Aiming at provisioning such requirements, the fog computing concept recently came up with the aim of nearing the cloud
capacities to the edge, what definitely paves the way to meet the required performance constraints, reducing network load, reducing
latency, speeding up decision making processing and easing security guarantees. Fortunately, fog does not exclude cloud, rather it
complements and optimizes cloud performance, so as those services that cannot be implemented in the lower fog level (lack of processing
or storage capacities), will keep demanding higher fog levels or cloud, and those services requiring specific fog skills (low latency, security)
may run close to the edge device. The F2C paradigm is coined to identify a hierarchical fog-to-cloud architecture, putting together all
resources from the edge up to the cloud requiring a coordinated management for an optimal service execution. This architecture has been
preliminary introduced recently in the National project GUAU and is proposed to be extended in MIAU in three main directions, first
enriching the architecture towards IoT, turning into a F2C-IoT model leveraging recent technologies and solutions (AI, blockchain, etc.) to
develop new functionalities, second making interoperability a must, and third tuning the architecture to adopt a collaborative model, aligned
to the current trends in other domains (UBER, AirBnB), based on resources sharing policies yet to be defined. More specifically, the
proposed MIAU framework will manage the heterogeneous F2C-IoT scenario addressing 6 main challenges, i.e., mobility, security, data
management, orchestration, interoperability and resources sharing. The MIAU project proposes two real-world use cases, seating in the
traffic and the e-health sectors, deployed in a smart city pilot implemented in the CRAAX lab, both to be used for validation purposes.
F2C, cloud, compartición recursos, fog, gestión redes, health, network management, resources sharing, salud, security, seguridad
Adm. Estat
Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016
Resoluton year
Funcding program
Programa Estatal de I+D+i Orientada a los Retos de la Sociedad
Funding call
Retos de Investigación: Proyectos de I+D+i
Grant institution
Agencia Estatal De Investigacion


Scientific and technological production

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