Authors: Barbara Pernici, Cinzia Cappiello, Monica Vitali, Pierluigi Plebani
Tags: 2017, conceptual modeling
The usage of sensors, smart devices, and wearables is becoming more and more common, and the amount of data they are able to generate can create a real value only if such data are properly analyzed. To this aim, the design of data-intensive applications needs to find a balance between the value of the output of the data analysis – that depends on the quality and quantity of available data – and the performance. The goal of this paper is to propose a “data utility” model to evaluate the importance of data with respect to their usage in a data-intensive application running in a Fog environment. This implies that the data, as well as the data processing, could reside both on Cloud resources and on devices at the edge of the network. On this basis, the proposed data utility model puts the basis to decide if and how data and computation movements from the edge to the Cloud – and vice versa – can be enacted to improve the efficiency and the effectiveness of applications.Read the full paper here: https://link.springer.com/chapter/10.1007/978-3-319-70625-2_20
