Data Center Control Application With Fuzzy Logic

Öz

Data centers are systems that host devices utilizing recording and communication technologies, which are expected to operate securely and accurately. Consequently, transforming data centers into smart environments for control purposes has become a significant area of focus. In this study, we monitor the cabinet environment within data centers and ensure that the control system reaches the predetermined optimal state values in the event of undesirable situations. Threshold control was implemented for humidity and flame data, while fuzzy logic theory was applied to temperature data. Fuzzy clusters can be adjusted according to the data center's location at the user's request. This approach allows users to input desired optimal and threshold values into the system, which are then evaluated based on the situation. The designed system ensures data center security with minimal personnel involvement. Additionally, all problematic events are recorded in the system, enabling them to be viewed on a webpage and communicated to designated personnel via email. In the conducted study, the fuzzy-controlled temperature value outputs are reported as heating (40%), cooling (53%), and instances where the system does not perform heating or cooling.

Anahtar Kelimeler

• Fuzzy Logic
• Embedded Systems
• Environment Monitoring
• Data Center

Kaynakça

1. Özdemir B. "Akıllı Ev Sistemlerinde Güvenlik Zafiyetleri ve Önlemleri", Yüksek Lisans Tezi, İstanbul Şehir Üniversitesi Fen Bilimleri Enstitüsü, İstanbul, 2019.
2. Erışık Y. Ortam İzleme Kontrol Sistemleri [Online]. Available: https://www.cozumpark.com/ortam-zleme-kontrol-sistemleri (accessed: January 4, 2021).
3. Gökmen HT, Küçüksille EU, "Veri Merkezi Tasarımı", In: XV. Akademik Bilişim Konferansı Bildirileri Akdeniz Üniversitesi, Antalya, (2013) 93-97.
4. Koçak Ç. "Bulanık Mantık ile Arı Kovanlarının Uzaktan Takip ve Kontrol Sistemi", Yüksek Lisans Tezi, Mehmet Akif Ersoy Üniversitesi Fen Bilimleri Enstitüsü, Burdur, 2018.
5. Purwanto FH, Utami E, Pramono E. "Design of server room temperature and humidity control system using fuzzy logic based on microcontroller", In: 2018 International Conference on Information and Communications Technology ICOIACT, (2018) 390-395.
6. Baz FÇ, Uludağ K. "Veri Merkezi Güvenliğinin Sağlanmasında IoT Sensörlerinin Kullanımı Üzerine Bir Uygulama", Avrupa Bilim ve Teknoloji Dergisi 27 (2021) 392-397.
7. Kurniawan DE, Iqbal M, Friadi J, Borman RI, Rinaldi R. "Smart monitoring temperature and humidity of the room server using raspberry pi and whatsapp notifications", In: Journal of Physics: Conference Series, (2019) doi:10.1088/1742-6596/1351/1/012006
8. Balcı M. "Raspberry Pi Mini Bilgisayarı ile Ortam İzleme Sistemi Geliştirilmesi", Yüksek Lisans Tezi, Şeyh Edebali Üniversitesi Fen Bilimleri Enstitüsü, Bilecik, 2019.

9. Abbas M, Khan MS, Zafar F. "Autonomous room air cooler using fuzzy logic control system", International Journal of Scientific & Engineering Research 2(5) (2011) 1-8.
10. Das TK, Das Y. "Design of a room temperature and humidity controller using fuzzy logic", American Journal of Engineering Research 2(11) (2013) 86-97.
11. Geng H. "Data Centers - Strategic Planning, Design, Construction, And Operations", In: Geng H. (Ed.), Data center handbook, John Wiley & Sons, New Jersey, USA, (2015) 3-14.
12. Günel A. "Üniversitelere Yönelik Yeni Bir Veri Merkezi Tasarımı ve Uygulaması", Yüksek Lisans Tezi, Şeyh Edebali Üniversitesi Fen Bilimleri Enstitüsü, Bilecik, 2014.
13. Dai J, Ohadi MM, Das D, Pecht MG. "Optimum cooling of data centers", Springer, New York, USA, 2014.
14. Wikipedia, Data center [Online]. Available: https://en.wikipedia.org/wiki/Data_center (accessed: March 30, 2021).
15. Cloudwolks, Understanding different types of data centers [Online]. Available: https://www.cloudwalks.com/ blog/understanding-different-types-of-data-centers (accessed: March 30, 2021).
16. Uptime, Data Center Certification [Online]. Available: https://uptimeinstitute.com/tier-certification (accessed: March 30, 2021).
17. Uptime, Tier Classification System [Online]. Available: https://uptimeinstitute.com/tiers (accessed: March 30, 2021).
18. Stansberry M. Explaining the Uptime Institute’s Tier Classification System [Online]. Available: https://journal. uptimeinstitute.com/explaining-uptime-institutes-tier-classification-system/ (accessed: March 30, 2021).
19. Uptime, Uptime Institute Issued Awards [Online]. Available: https://uptimeinstitute.com/uptime-institute-awards/list (accessed: March 30, 2021).
20. Wikipedia, ASHRAE [Online]. Available: https://en.wikipedia.org/wiki/ASHRAE (accessed: March 30, 2021).
21. ASHRAE TC 9.9, "2011 Thermal Guidelines for Data Processing Environments - Expanded Data Center Classes and Usage Guidance", USA, 2011.
22. ASHRAE TC 9.9, "Data Center Power Equipment Thermal Guidelines and Best Practices", USA, 2016.
23. Akın G, Ketenci S. Sistem Odaları İklimlendirme Sistemleri [Online]. Available: https://web.itu.edu.tr/akingok/ doktora/iklimlendirme/Sistem_odasi_iklimlendirme_sistemleri.pdf (accessed: February 3, 2021).
24. Donohue SS. "Fire Protection and Life Safety Design in Data Centers," In: Geng H. (Ed.), Data center handbook, John Wiley & Sons, New Jersey, USA, (2015) 229-243.
25. Novák V, Perfilieva I, Mockor J. "Mathematical principles of fuzzy logic", Springer Science & Business Media, LLC, USA, 1999.
26. Klir GJ, Yuan B. "Fuzzy sets and fuzzy logic: theory and applications", Prentice Hall P T R, NJ, USA, 1995.
27. Nhivekar G, Nirmale S, Mudholker R. "Implementation of fuzzy logic control algorithm in embedded microcomputers for dedicated application", International Journal of Engineering, Science and Technology 3(4) (2011) 276-283.
28. Singhala P, Shah D, Patel B. "Temperature control using fuzzy logic", IJICS -International Journal of Instrumentation and Control Systems 4(1) (2014) 1-10; doi: 10.5121/ijics.2014.4101.
29. Pricop E, Mihalache SF. "Fuzzy approach on modelling cyber attacks patterns on data transfer in industrial control systems," In: 2015 7th International Conference on Electronics, Computers and Artificial Intelligence, Bucharest, (2015) 1-6.
30. Fahmi N, Huda S, Sudarsono A, Al Rasyid MUH. "Fuzzy logic for an implementation environment health monitoring system based on wireless sensor network", Journal of Telecommunication, Electronic and Computer Engineering, 9(2-4) (2017) 119-122.
31. Kaur A, Kaur A. "Comparison of mamdani fuzzy model and neuro fuzzy model for air conditioning system", International Journal of Computer Science and Information Technologies 3(2) (2012) 3593-3596.
32. Ross TJ. "Fuzzy Logic with Engineering Applications" (3nd Ed.), A John Wiley and Sons, Singapore, 2010.
33. Altaş İH. "Bulanık Mantık: Bulanıklılık Kavramı", Enerji, Elektrik, Elektromekanik-3e 62 (1999) 80-85.
34. Wikipedia. Fuzzy Logic [Online]. Available: https://en.wikipedia.org/wiki/Fuzzy_logic (accessed: March 30, 2021).
35. Wikipedia. Set (mathematics) [Online]. Available: https://en.wikipedia.org/wiki/Set_(mathematics) (accessed: March 30, 2021).
36. Jones M et al. Kod ölçümleri değerleri [Online]. Available: https://docs.microsoft.com/tr-tr/visualstudio/code-quality/code-metrics-values?view=vs-2022 (accessed: July 21, 2022).
37. Jones M, Hogenson G. Kod ölçümleri - Bakım dizini aralığı ve anlamı [Online]. Available: https://docs.microsoft.com/tr-tr/visualstudio/code-quality/code-metrics-maintainability-index-range-and-meaning?view=vs-2019 (accessed: July 21, 2022).
38. Karagedik Ö. Visual Studio 2008’de Kod Metrikleri ve Kod Analizi (Static and Dynamic Code Analyze) – Bölüm 1 [Online]. Available: http://univera-ng.blogspot.com/2010/03/visual-studio-2008de-kod-metrikleri-ve.html (accessed: July 21, 2022).
39. Jones M, Hogenson G. Kod ölçümleri - Devralma derinliği (DIT) [Online]. Available: https://docs.microsoft.com/tr-tr/visualstudio/code-quality/code-metrics-depth-of-inheritance?view=vs-2022 (accessed: July 21, 2022).
40. Bilen M. "Yapay Sinir Ağları İçin Web Tabanlı Bir Eğitim Yazılımı Geliştirilmesi", Yüksek Lisans Tezi, Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü, Isparta, 2014.
41. Wikipedia, Fan (machine) [Online]. Available: https://en.wikipedia.org/wiki/Fan_(machine) (accessed: April 10, 2022).
42. Başcı MB. "Otonom Robotlar Aracılığıyla Veri Merkezlerindeki Kabinet İçi Sıcaklık Dağılımının Bulanık Mantık İle Kontrolü", Yüksek Lisans Tezi, Atatürk Üniversitesi Fen Bilimleri Enstitüsü, Erzurum, 2019.
43. Utomo MAP, Aziz A, Winarno, Harjito B. "Server Room Temperature & Humidity Monitoring Based on Internet of Thing (IoT)", In: ICMETA 2018 - Journal of Physics: Conference Series 1306 (2019) 012030; doi:10.1088/1742-6596/1306/1/012030.
44. Ko JS, Huh JH, Kim JC. "Improvement of energy efficiency and control performance of cooling system fan applied to Industry 4.0 data center", Electronics 8(5) (2019) 582.
45. Tosun MF, Gençkal AA, Şenol R. "Modern Kontrol Yöntemleri ile Bulanık Mantık Temelli Oda Sıcaklık Kontrolü", Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 23(3) (2019) 992-999.