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Utility-Driven Data Management for Data-Intensive Applications in Fog Environments

  • Cinzia Cappiello
  • Barbara Pernici
  • Pierluigi Plebani
  • Monica VitaliEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10651)

Abstract

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.

Keywords

Data utility Cloud and Fog computing 

Notes

Acknowledgments

DITAS project is funded by the European Union Horizon 2020 research and innovation programme under grant agreement RIA 731945.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Cinzia Cappiello
    • 1
  • Barbara Pernici
    • 1
  • Pierluigi Plebani
    • 1
  • Monica Vitali
    • 1
    Email author
  1. 1.DEIBPolitecnico di MilanoMilanoItaly

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