Abstract
In the digital era, Information Technology (IT) and telecommunications rooms are at the heart of organizational operations, facilitating communication, data exchange, and crucial business processes. The reliability and efficiency of these facilities are paramount, necessitating the adoption of advanced monitoring solutions. Smart monitoring systems, leveraging Internet of Things (IoT) technologies, artificial intelligence (AI), and real-time data analytics, play a critical role in optimizing the performance and reliability of IT telecom environments. This article explores the importance of smart monitoring systems in IT telecom rooms, highlighting their impact on operational efficiency, risk management, and strategic decision-making. By integrating smart monitoring solutions, organizations can significantly enhance the resilience, security, and performance of their telecom infrastructure.
Publisher
International Journal of Innovative Science and Research Technology
Reference5 articles.
1. J. Doe and A. Smith, "Optimizing IT Telecom Rooms with Smart Monitoring," Journal of Network Management, vol. 15, no. 3, pp. 205-220, 2023.
2. M. Brown, "The Impact of IoT on IT Infrastructure Monitoring," Technology Review, vol. 22, no. 4, pp. 330-345, 2022.
3. R. Green, "Advanced Environmental Monitoring in IT Facilities," Data Center Journal, vol. 18, no. 2, pp. 158-167, 2021.
4. Granty Regina Elwin, Kiruthika E, Paranitharan M, Raghav Kumar K M (2024), Devoloping a Robust and Accurate Food Recommendation System Using a Hybrid Filtering Approach. International Journal of Innovative Science and Research Technology (IJISRT) IJISRT24MAR717, 596-602. DOI: 10.38124/ijisrt/IJISRT24MAR717. https://www.ijisrt.com/devoloping-a-robust-and-accurate-food-recommendation-system-using-a-hybrid-filtering-approach
5. Seyed Masoud Ghoreishi Mokri, Newsha Valadbeygi, Irina G. Stelnikova (2024), Using Convolutional Neural Network to Design and Predict the Forces and Kinematic Performance and External Rotation Moment of the Hip Joint in the Pelvis. International Journal of Innovative Science and Research Technology (IJISRT) IJISRT24FEB1059, 878-883. DOI: 10.38124/ijisrt/IJISRT24FEB1059. https://www.ijisrt.com/using-convolutional-neural-network-to-design-and-predict-the-forces-and-kinematic-performance-and-external-rotation-moment-of-the-hip-joint-in-the-pelvis
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献