Advancements in Network Infrastructure for Large-Scale Educational and Industrial Systems
DOI:
https://doi.org/10.32628/CSEIT25113340Keywords:
Network architecture, Zero-trust security, AI-driven monitoring, Edge computing, Digital transformationAbstract
This article examines the evolution of network infrastructures supporting large-scale educational and industrial environments facing increasing demands for reliability, performance, and security. Through a comprehensive analysis of standardized architectures, hybrid cloud integrations, and advanced monitoring frameworks, the article explores how modern network designs address complex operational challenges. Standardized approaches incorporating stakeholder feedback and systems thinking methodologies enable consistent deployments across distributed environments while maintaining flexibility for local requirements. The integration of software-defined networking capabilities transforms provisioning, traffic optimization, and security segmentation, creating adaptable infrastructures responsive to changing operational needs. AI-driven monitoring frameworks shift organizations from reactive to proactive postures through anomaly detection, automated compliance validation, and real-time telemetry. Zero-trust security models fundamentally transform protection strategies through micro-segmentation, continuous authorization, and comprehensive encryption. The transformation roadmap addresses legacy integration challenges while positioning organizations for emerging edge computing paradigms and sustainability imperatives.
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References
Hong Jiang, et al, “Enterprises' network structure and their technology standardization capability in Industry 4.0,” 09 June 2020, WILEY, Available: https://onlinelibrary.wiley.com/doi/full/10.1002/sres.2716
Leonel Hernandez, et al, “Optimization of a WiFi Wireless Network that Maximizes the Level of Satisfaction of Users and Allows the Use of New Technological Trends in Higher Education Institutions,” June 2019, Online, Available: https://www.researchgate.net/publication/335790596_Optimization_of_a_WiFi_Wireless_Network_that_Maximizes_the_Level_of_Satisfaction_of_Users_and_Allows_the_Use_of_New_Technological_Trends_in_Higher_Education_Institutions
Kherota Yalda, et al, “Comparative Analysis of Centralized and Distributed SDN Environments for IoT Networks,” September 2024, Control Engineering and Applied Informatics, Available: https://www.researchgate.net/publication/384861738_Comparative_Analysis_of_Centralized_and_Distributed_SDN_Environments_for_IoT_Networks
Dan Meng, et al, “Security-first architecture: deploying physically isolated active security processors for safeguarding the future of computing,” December 2018, Cybersecurity, Available: https://www.researchgate.net/publication/325577004_Security-first_architecture_deploying_physically_isolated_active_security_processors_for_safeguarding_the_future_of_computing
Aakash Aluwala, “AI-Driven Anomaly Detection in Network Monitoring Techniques and Tools,” June 2024, Journal of Artificial Intelligence & Cloud Computing, Available: https://www.researchgate.net/publication/381845747_AI-Driven_Anomaly_Detection_in_Network_Monitoring_Techniques_and_Tools
Lizhuang Tan, et al, “In-band Network Telemetry: A Survey,” August 2020, Computer Networks, Available: https://www.researchgate.net/publication/344533358_In-band_Network_Telemetry_A_Survey
Naeem Firdous Syed, et al, “Zero Trust Architecture (ZTA): A Comprehensive Survey,” 12 May 2022, IEEE, Available: https://ieeexplore.ieee.org/document/9773102
Francesco Cosimo Andriulo, et al, “Edge Computing and Cloud Computing for Internet of Things: A Review,” 30 September 2024, MDPI, Available: https://www.mdpi.com/2227-9709/11/4/71
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