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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM17137
Volume:
6 |
12 |
Dec 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The increasing complexity of data center operations and the growing demand for higher efficiency have led to the integration of advanced control systems, aimed at optimizing various operational aspects and enhancing security measures. This paper explores the role of advanced control systems in automating data center management, with a focus on reducing operational costs and improving overall security. The integration of Internet of Things (IoT) devices, artificial intelligence (AI), and machine learning into control systems has revolutionized energy management, cooling, power distribution, and monitoring, resulting in substantial cost reductions. Furthermore, these systems enhance security by providing real-time monitoring, predictive analytics, and automated response capabilities that help in identifying and mitigating cyber threats. Key findings of this research reveal that advanced control systems significantly reduce energy consumption, improve operational efficiency, and minimize the risk of security breaches. The study also highlights the importance of integrating cybersecurity measures into automation systems to safeguard sensitive data and infrastructure. By leveraging the latest technological advancements, data centers can achieve better resource management, reduced carbon footprints, and enhanced protection against security vulnerabilities. This paper emphasizes the importance of adopting advanced control systems as a means to future-proof data centers while optimizing costs and maintaining high-security standards.
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Publication Date
12/26/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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