Automating the Digital Backbone-Advanced Network Strategies for Modern Enterprises and ISPs

Authors: Vaishali Nagpure

DOI: https://doi.org/10.5281/zenodo.14208950

Short DOI: https://doi.org/g8rrfs

Country: USA

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Abstract: As modern enterprises and Internet Service Providers (ISPs) scale, the digital backbone supporting their operations—an intricate combination of wired and wireless networks—must handle an expanding array of connected devices, high-bandwidth applications, and stringent compliance requirements. Traditional network management methods, often manual, are increasingly inadequate in addressing the operational demands and complexities of hybrid infrastructures that serve critical sectors such as financial technology, healthcare, telecommunications, and public safety. This case study examines the application of advanced automation techniques, specifically AI-driven fault detection, dynamic spectrum allocation, and real-time traffic optimization, within a large ISP network. By leveraging machine learning and adaptive routing algorithms, these automation strategies effectively manage network performance, mitigate faults, and ensure regulatory compliance with spectrum-sharing policies. This study highlights the real-world implementation of these techniques in a large ISP, presenting a comprehensive, automated network management model that enhances operational efficiency, strengthens security, and supports the uninterrupted delivery of high-priority services in highly connected, data-intensive environments.

Keywords: Network Automation, Digital Backbone, Enterprise Networks, ISP Management

Paper Id: 231643

Published On: 2022-10-06

Published In: Volume 10, Issue 5, September-October 2022

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