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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Communication dans un congrès
Khalid Saeed; Václav Snášel. 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Nov 2014, Ho Chi Minh City, Vietnam. Springer, Lecture Notes in Computer Science, LNCS-8838, pp.514-525, 2014, Computer Information Systems and Industrial Management. 〈10.1007/978-3-662-45237-0_47〉
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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. Khalid Saeed; Václav Snášel. 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Nov 2014, Ho Chi Minh City, Vietnam. Springer, Lecture Notes in Computer Science, LNCS-8838, pp.514-525, 2014, Computer Information Systems and Industrial Management. 〈10.1007/978-3-662-45237-0_47〉. 〈hal-01405634〉

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