%0 Conference Proceedings
%T A Model of a System for Stream Data Storage and Analysis Dedicated to Sensor Networks of Embankment Monitoring
%+ AGH University of Science and Technology [Krakow, PL] (AGH UST)
%A Pięta, Anna
%A Lupa, Michał
%A Chuchro, Monika
%A Piórkowski, Adam
%A Leśniak, Andrzej
%Z Part 7: Networking
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM)
%C Ho Chi Minh City, Vietnam
%Y Khalid Saeed
%Y Václav Snášel
%I Springer
%3 Computer Information Systems and Industrial Management
%V LNCS-8838
%P 514-525
%8 2014-11-05
%D 2014
%R 10.1007/978-3-662-45237-0_47
%K stream databases
%K sensor networks
%K time series
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X 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.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01405634/document
%2 https://inria.hal.science/hal-01405634/file/978-3-662-45237-0_47_Chapter.pdf
%L hal-01405634
%U https://inria.hal.science/hal-01405634
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-LNCS-8838
%~ IFIP-CISIM