• business models
• fog computing
• predictive application management

Devices at the edge, such as smartphones, smartwatches and sensors are becoming more intelligent and cheaper. Equipped with tiny yet powerful processors, they can now tackle computing problems that a few years ago needed an entire framework.
Most of the data until now has been crunched into the Cloud, but the increasing of the number of devices is leading to the need for new infrastructures.
That shift that will permit the emergence of mission- or life-critical applications, but to enable them systems to predict the application requirements and manage the life cycle are needed.
This thesis proposes a business assessment of the current technological scenario equipped with new tools to allow the rise of new QoS-aware deployment of multi-component applications in the Fog infrastructure exploiting business tools that are used to model potential strategies of insurgency in the market. Indeed, the final results are related to the design of three business models that could allow to take place in an already saturated market.