A Machine Learning-Based IoT Environmental Monitoring Platform for Data Centers
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-56576-2_23
Reference11 articles.
1. Rasool, H., Rasool, A., Rasool, U., Raza, A., & Ahmad, W. (2014). Centralized environment and battery monitoring system for server rooms. https://doi.org/10.1109/ITEC-AP.2014.6941035.
2. Marzuki, M. J., & Newell, G. (2019). The emergence of data centres as an innovative alternative property sector. Journal of Property Investment and Finance, 37(2), 140–152. https://doi.org/10.1108/JPIF-08-2018-0064
3. Onibonoje, M. O., Bokoro, P. N., Nwulu, N. I., & Gbadamosi, S. L. (2019). An IoT-based approach to real-time conditioning and control in a server room. https://doi.org/10.1109/IDAP.2019.8875880.
4. Kurniawan, D. E., Iqbal, M., Friadi, J., Borman, R. I., & Rinaldi, R. (2019). Smart monitoring temperature and humidity of the room server using raspberry pi and Whatsapp notifications. Journal of Physics: Conference Series, 1351(1), 012006. https://doi.org/10.1088/1742-6596/1351/1/012006
5. Roy, A. et al. (2016). Energy-efficient data centers and smart temperature control system with IoT sensing. https://doi.org/10.1109/IEMCON.2016.7746251.
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