AI-Powered Network Management: A Comprehensive Framework for Intelligent Infrastructure Optimization

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mohammed juned shaikh shabbir; Amol Prataprao Bhatkar; Bhimrao Shriram Lankeshwar; Sagar Shrikrishna Dharamkar; Rahul Mahesh Bhutada

AI-Powered Network Management: A Comprehensive Framework for Intelligent Infrastructure Optimization

Authors: mohammed juned shaikh shabbir, Amol Prataprao Bhatkar, Bhimrao Shriram Lankeshwar, Sagar Shrikrishna Dharamkar, Rahul Mahesh Bhutada

Unique Paper ID: 182696
Volume: 12
Issue: 2
PageNo: 2803-2810

Keywords: Network Management Artificial Intelligence Machine Learning Network Optimization Predictive Analytics Autonomous Systems

Abstract:
Innovative techniques to network management are required as a result of the exponential development in both the complexity of networks and the volume of data flow. The purpose of this study is to propose a comprehensive framework for artificial intelligence-powered network management. This framework incorporates machine learning algorithms, predictive analytics, and autonomous decision-making capabilities. Significant increases in network performance, fault detection accuracy, and resource utilization efficiency are demonstrated by the solution that we have presented. Through thorough simulation and testing in the real world, we were able to achieve an accuracy of 89% in failure prediction, a decrease of 34% in network downtime, and an improvement of 28% in bandwidth usage. The framework contains deep learning models for the recognition of traffic patterns, reinforcement learning for the dynamic allocation of resources, and natural language processing for the intelligent study of logs.

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Cite This Article

ISSN: 2349-6002
Volume: 12
Issue: 2
PageNo: 2803-2810

AI-Powered Network Management: A Comprehensive Framework for Intelligent Infrastructure Optimization

Available:https://ijirt.org/article?manuscript=182696

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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