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2019 | OriginalPaper | Buchkapitel

An Adaptive Monitoring Service Exploiting Data Correlations in Fog Computing

verfasst von : Monica Vitali, Xuesong Peng, Barbara Pernici

Erschienen in: Service-Oriented Computing

Verlag: Springer International Publishing

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Abstract

In smart environments, a big amount of information is generated by sensors and monitoring devices. Moving data from the edge where they are generated to the cloud might introduce delays with the growth of data volume. We propose an adaptive monitoring service, able to dynamically reduce the amount of data moved in a fog environment, exploiting the dependencies among the monitored variables dynamically assessed through correlation analysis. The adaptive monitoring service enables the identification of dependent variables that can be transmitted at a highly reduced rate and the training of prediction models that allow deriving the values of dependent variables from other correlated variables. The approach is demonstrated in a smart city scenario.

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Metadaten
Titel
An Adaptive Monitoring Service Exploiting Data Correlations in Fog Computing
verfasst von
Monica Vitali
Xuesong Peng
Barbara Pernici
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-030-33702-5_29

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