Abstract
Setting up and managing Internet of things environment possess challenges like capturing, storing, mining, and processing of massive high-speed data streams generated by various sensors and computing devices. In this paper, the focus is on decision support systems incorporating cloud infrastructure and streaming data analytics to provide efficient decision making at the point of care in smarter environments. It is best explained with the help of performing streaming data analytics over real-time smart environment setup to determine the factors for efficient water usage in the near real time.
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https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-introduction
Acknowledgements
The experimentation was carried out with the support from the IOT laboratory, Amrita School of Engineering, Coimbatore, and as part of an internally funded research project—Data Collection Framework for SMART Water Management and Analytics (AMRITA/IFRP-07/2016–17).
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Valliappan, S., Bagavathi Sivakumar, P., Ananthanarayanan, V. (2019). Efficient Real-Time Decision Making Using Streaming Data Analytics in IoT Environment. In: Kamal, R., Henshaw, M., Nair, P. (eds) International Conference on Advanced Computing Networking and Informatics. Advances in Intelligent Systems and Computing, vol 870. Springer, Singapore. https://doi.org/10.1007/978-981-13-2673-8_19
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DOI: https://doi.org/10.1007/978-981-13-2673-8_19
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