Fuzzy logic-based fault detection in containerized data centers using digital twins

Article type: Research Article

Authors: Vinoth Kumar, M.^{a; *} | Supreeth, B.R.^b | Hariprabhu, M.^c | Shanmuga Priya, P.^d | Ahmed, Ahmed Najat^e | Nagrare, Trupti^f | Mathur, Shruti^g | Manikandan, G.^h

Affiliations: [a] Department of Information Science and Engineering, RV Institute of Technology and Management, Bangalore | [b] Department of Computer Science, Oxford Degree and PG College, Sir. M. Visveshwaraiah Layout, Ullal, Bangalore, India | [c] Department of Electrical and Electronics Engineering, M. Kumarasamy College of Engineering, Karur, India | [d] Department of Computer Science and Engineering, K. Ramakrishnan College of Engineering, Samyapuram, Trichy, India | [e] Department of Computer Engineering, Lebanese French University, Erbil, Kurdistan Region, Iraq | [f] Electronics and Telecommunication Engineering, S.B. Jain Institutes of Technology, Management and Research, Nagpur, India | [g] Department of Computer Science and Engineering, JECRC University, Jaipur and Rajasthan, India | [h] Department of Electronics and Communication Engineering, Saveetha School Of Engineering, Saveetha Institute of Medical and Technical Sciences, Thandalam, Chennai, India

Correspondence: [*] Corresponding author. M. Vinoth Kumar, Associate Professor, Department of Information Science and Engineering, RV Institute of Technology and Management, Bangalore. E-mail: [email protected].

Abstract: Containerized data centers (CDCs) have experienced rapid growth in recent years, owing to their modular and scalable nature. However, ensuring reliability and early fault detection in these complex systems is critical. This paper presents a novel Fuzzy Logic-based Fault Detection (FLFD) framework for CDCs using Digital Twins (DTs). The proposed approach employs DTs to create accurate virtual representations of the CDCs, which enable real-time monitoring and analysis of the physical systems. This paper focuses on three main aspects: (1) the development of a comprehensive DT model for CDCs, (2) the design and implementation of a FLFD algorithm, and (3) the validation of the proposed approach through extensive simulations and real-world case studies. The FLFD algorithm leverages fuzzy logic principles to identify and localize faults in the system, thereby enhancing the overall fault detection accuracy and reducing false alarms. Results demonstrate the effectiveness of the proposed framework, with significant improvements in fault detection performance and system reliability. The FLFD approach offers a promising solution for proactive maintenance and management in containerized data centers, paving the way for more efficient and resilient operations.

Keywords: Fuzzy logic, fault detection, containerized data centers, digital twins, proactive maintenance

DOI: 10.3233/JIFS-233736

Journal: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2023