Abstract
The paper describes an approach of applying an actor model that executes Data Mining algorithms to analyze data in IoT systems with a distributed architecture (with Fog Computing). The approach allows to move computational load closer to the data, thus increasing performance of the analysis and decreasing network traffic. Execution of the 1R algorithm in an IoT system with a distributed architecture and the results of the comparison of distributed and centralized architectures are shown in the paper.
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Acknowledgments
The work has been performed at the Saint Petersburg Electrotechnical University “LETI” within the scope of the contract Board of Education of Russia and science of the Russian Federation under the contract № 02.G25.31.0058 from 12.02.2013. The paper has been prepared within the scope of the state project “Organization of scientific research” of the main part of the state plan of the Board of Education of Russia, the project part of the state plan of the Board of Education of Russia (task 2.136.2014/K) as well as supported by grant of RFBR (projects 16-07-00625).
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Kholod, I., Petuhov, I., Efimova, M. (2016). Data Mining for the Internet of Things with Fog Nodes. In: Galinina, O., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART NEW2AN 2016 2016. Lecture Notes in Computer Science(), vol 9870. Springer, Cham. https://doi.org/10.1007/978-3-319-46301-8_3
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DOI: https://doi.org/10.1007/978-3-319-46301-8_3
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