Thermal and Electrical Management of a Data Center Using IoT Sensing
Abstract
The advancement of the Internet of Things (IoT) has enabled greater efficiency in monitoring environments, allowing a better management and discovery of the conditions where the application is inserted. This feature is useful for monitoring High Performance Computing (CAD) environments that require tight control of local conditions. The environment management has become essential with the popularization of Cloud Computing, since an inoperative environment is a critical problem. This work presents a thermal and eletrical control system for CAD environments using IoT. The system monitors the temperature, humidity and electrical power supply of the data center room.
References
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El-Sayed, N., Stefanovici, I. A., Amvrosiadis, G., Hwang, A. A., and Schroeder, B. (2012). Temperature management in data centers: Why some (might) like it hot. SIGMETRICS Perform. Eval. Rev., 40(1):163–174.
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Lu, T., Zha, X., and Zhao, X. (2016). Multi-stage monitoring of abnormal situation based on complex event processing. Procedia Computer Science, 96:1361 – 1370. Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016.
Ramos, L. and Bianchini, R. (2008). C-oracle: Predictive thermal management for data centers. In 2008 IEEE 14th International Symposium on High Performance Computer Architecture, pages 111–122.
Borgia, E. (2014). The internet of things vision: Key features, applications and open issues. Computer Communications, 54:1 – 31.
Carvalho, C. M. A., Rodrigues, C. A. P., Aguilar, P. A. C., de Castro, M. F., Andrade, R. M. C., Boudy, J., and Istrate, D. (2015). Adaptive tracking model in the framework of medical nursing home using infrared sensors. In 2015 IEEE Globecom Workshops (GC Wkshps), pages 1–6.
Chen, J., Tan, R., Xing, G., and Wang, X. (2014). Ptec: A system for predictive thermal and energy control in data centers. In Real-Time Systems Symposium (RTSS), 2014 IEEE, pages 218–227.
da Silva, A. R., Júnior, J. C. X., and Silva, I. (2016). Rede de sensores para controle inteligente de ambientes. In 8º SBCUP - Simpósio Brasileiro de Computação Ubíqua e Pervasiva - XXXVI CSBC - Congresso da Sociedade Brasileira de Computação.
El-Sayed, N., Stefanovici, I. A., Amvrosiadis, G., Hwang, A. A., and Schroeder, B. (2012). Temperature management in data centers: Why some (might) like it hot. SIGMETRICS Perform. Eval. Rev., 40(1):163–174.
Ferdoush, S. and Li, X. (2014). Wireless sensor network system design using raspberry pi and arduino for environmental monitoring applications. Procedia Computer Science, 34:103 – 110.
García, C. G., G-Bustelo, B. C. P., Espada, J. P., and Cueva-Fernandez, G. (2014). Midgar: Generation of heterogeneous objects interconnecting applications. a domain specific language proposal for internet of things scenarios. Computer Networks, 64:143 – 158.
Liu, Q., Ma, Y., Alhussein, M., Zhang, Y., and Peng, L. (2016). Green data center with iot sensing and cloud-assisted smart temperature control system. Computer Networks, 101:104–112.
Lu, T., Zha, X., and Zhao, X. (2016). Multi-stage monitoring of abnormal situation based on complex event processing. Procedia Computer Science, 96:1361 – 1370. Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016.
Ramos, L. and Bianchini, R. (2008). C-oracle: Predictive thermal management for data centers. In 2008 IEEE 14th International Symposium on High Performance Computer Architecture, pages 111–122.
Published
2017-07-02
How to Cite
BRAGA, Antonio Rafael; MACIEL, Felipe Anderson O.; ALMEIDA, Rodrigo L. A.; AGUILAR, Paulo A. C.; GOMES, Danielo G.; ANDRADE, Rossana M. C..
Thermal and Electrical Management of a Data Center Using IoT Sensing. In: PROCEEDINGS OF BRAZILIAN SYMPOSIUM ON UBIQUITOUS AND PERVASIVE COMPUTING (SBCUP), 9. , 2017, São Paulo.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2017
.
p. 998-1007.
ISSN 2595-6183.
DOI: https://doi.org/10.5753/sbcup.2017.3306.
