Bringing Complex Event Processing into Multitree Modelling of Sensors

Abstract : The recent advances in the Internet of Things allow deploying a large variety of applications for smart cities, home automation or the industry of the future. These applications generate a large amount of data that can be challenging to manage; identifying and parsing this data become a prominent problem. In order to address this issue, we propose a multitree model for the sensor representation which matches the need for heterogeneous applications and user support. From there, we define a complex event processor based on a new language and grammar, in order to filter and identify user specific events. We show that we considerably reduce the size of queries by focusing on end-users knowledges as semantics for data streams.
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Communication dans un congrès
Márk Jelasity; Evangelia Kalyvianaki. 16th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems (DAIS), Jun 2016, Heraklion, Crete, Greece. Lecture Notes in Computer Science, LNCS-9687, pp.196-210, 2016, Distributed Applications and Interoperable Systems. 〈10.1007/978-3-319-39577-7_16〉
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Alexandre Garnier, Jean-Marc Menaud, Nicolas Montavont. Bringing Complex Event Processing into Multitree Modelling of Sensors. Márk Jelasity; Evangelia Kalyvianaki. 16th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems (DAIS), Jun 2016, Heraklion, Crete, Greece. Lecture Notes in Computer Science, LNCS-9687, pp.196-210, 2016, Distributed Applications and Interoperable Systems. 〈10.1007/978-3-319-39577-7_16〉. 〈hal-01434795〉

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