A Model of a System for Stream Data Storage and Analysis Dedicated to Sensor Networks of Embankment Monitoring

Abstract : Contemporary monitoring systems are a source of data streams. Processing of this data is an interesting issue from both a performance and data storage perspective. It is worth paying attention to the concept of stream database management systems, which are a hybrid that allows for efficient analysis of the data stream and provide a set of implemented statistical methods.This article presents the issues raised by embankment monitoring systems, a sensor network which generates a large stream of measured signals that should be analyzed in real-time. Warning or crash scenarios are also generated which are compared to the incoming data. A model of this data is presented and a construction of stream data analysis is proposed.
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Anna Pięta, Michał Lupa, Monika Chuchro, Adam Piórkowski, Andrzej Leśniak. A Model of a System for Stream Data Storage and Analysis Dedicated to Sensor Networks of Embankment Monitoring. 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Nov 2014, Ho Chi Minh City, Vietnam. pp.514-525, ⟨10.1007/978-3-662-45237-0_47⟩. ⟨hal-01405634⟩

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