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Design of Data Center Environmental Monitoring System Based On Lower Hardware Cost

  • Received : 2016.08.31
  • Accepted : 2016.10.10
  • Published : 2016.09.30

Abstract

Environmental downtime produces a significant cost to organizations and makes them unable to do business because what happens in the data center affects everyone. In addition, the amount of electrical energy consumed by data centers increases with the amount of computing power installed. Installation of physical Information Technology and facilities related to environmental concerns, such as monitoring temperature, humidity, power, flood, smoke, air flow, and room entry, is the most proactive way to reduce the unnecessary costs of expensive hardware replacement or unplanned downtime and decrease energy consumed by servers. In this paper, we present remote system for monitoring datacenter implementing using open-source hardware platforms; Arduino, Raspberry Pi, and the Gobetwino. The sensed data displayed through Arduino are transferred using Gobetwino to the nearest host server such as temperature, humidity and distance every time an object hitting another object or a person coming in entrance. The raspberry Pi records the sensed data at the remote location. The objective of collecting temperature and humidity data allows monitoring of the server's health and getting alerts if things start to go wrong. When the temperature hits $50^{\circ}C$, the supervisor at remote headquarters would get a SMS, and then they would take appropriate actions to reduce electrical costs and preserve functionality of servers in data centers.

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References

  1. N. Rasmussen, "Calculating Total Cooling Requirements for Data Centers," White Paper 25 Rev3, Schneider Electric, pp. 1-7, 2011
  2. Arduino Uno, ww.arduino.cc/en/Main/ArduinoBoardUno, 2016.
  3. Raspberry Pi, www.raspberrypi.org , 2016
  4. Gobetwino, http://mikmo.dk/gobetwino.html, 2016
  5. T. Evans, "Humidification Strategies for Data Centers and Network Rooms," White Paper no. 58 rev. 1, American Power Conversion by Schneider Electric, pp. 1-14, 2008.
  6. A. Mainwaring, D. Culler, J. Polastre, R. Szewczyk, and J. Anderson, "Wireless sensor Networks for Habitat Monitoring," in Proceedings of the 1st ACM International Workshop on Wireless Sensor Networks and Applications, pp. 88-97, 2002.
  7. C. Gui, and P. Mohapatra, "Power Conservation and Quality of Surveillance in Target Tracking Sensor Networks," in Proceedings of the 10th Annual International Conference on Mobile Computing and Networking, pp. 129-143, 2004.
  8. T. He, S. Krishnamurthy, J.A. Stankovic, T. Abdelzaher, L. Luo, T. Yan, R. Stoleru, G. GU, J. Hui and B. Krogh, "Energy-efficient surveillance System using Wireless Sensor Networks," in Proceedings of the 2nd of the 2nd International Conference on Mobile systems, pp. 270-283, 2004.
  9. S. Choochaisri, V. Niennattrakul, C. Intanagonwiwat and A.C. Ratanamahatana, "SENVM: Server Environment Monitoring and Controlling system for a small Data Center Using Wireless Sensor network," presented at the 1st International Computer Science and Engineering Conference, pp. 23-28, 2010.
  10. Waterproof DS18B20 Digital temperature sensor + extras, https://www.adafruit.com/product/381, 2016
  11. WinSCP. Free SFTP, SCP, and FTP client for Windows, https://winscp.net/eng/docs/lang:fr, 2016
  12. Fritzing, http://fritzing.org/home/, 2016
  13. Crontab-Quick Reference, http://www.adminschoice.com/crontab-quick-reference, 2016
  14. J. Waldo, On System Design, In an Essay Series Published by Sun Labs, Perspectives 2006-6, pp. 1-40, 2006.