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2018 | OriginalPaper | Chapter

Fog Computing and Data as a Service: A Goal-Based Modeling Approach to Enable Effective Data Movements

Authors : Pierluigi Plebani, Mattia Salnitri, Monica Vitali

Published in: Advanced Information Systems Engineering

Publisher: Springer International Publishing

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Abstract

Data as a Service (DaaS) organizes the data management life-cycle around the Service Oriented Computing principles. Data providers are supposed to take care not only of performing the life-cycle phases, but also of the data movements from where data are generated, to where they are stored, and, finally, consumed. Data movements become more frequent especially in Fog environments, i.e., where data are generated by devices at the edge of the network (e.g., sensors), processed on the cloud, and consumed at the customer premises.
This paper proposes a goal-based modeling approach for enabling effective data movements in Fog environments. The model considers the requirements of several customers to move data at the right time and in the right place, taking into account the heterogeneity of the resources involved in the data management.

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Footnotes
1
Available commercial solutions are Microsoft Azure SQL Database, Amazon RDS and Oracle Cloud, to name the few.
 
3
The maximum value corresponds to a binary goal tree with depth equals to 4, a size that, from our experience, we believe is much bigger the goal model that will be used for the purposes of this paper.
 
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Metadata
Title
Fog Computing and Data as a Service: A Goal-Based Modeling Approach to Enable Effective Data Movements
Authors
Pierluigi Plebani
Mattia Salnitri
Monica Vitali
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-91563-0_13

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