The Smart Network Management Automation Algorithm for Administration of Reliable 5G Communication Networks

Author:

Ramesh G.1,Logeshwaran J.2ORCID,Kumar Avvaru Praveen3ORCID

Affiliation:

1. Department of Information Technology, K.L.N. College of Engineering, Madurai, Tamil Nadu, India

2. Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore 641202, India

3. School of Applied Natural Science, Adama Science and Technology University, P.O. Box 1888, Adama, Ethiopia

Abstract

Smart network management automation (SNMA) is a technology that enables the automation of network management tasks. It provides a platform for automating network management, allowing administrators to manage their networks more reliably and efficiently. It provides the tools to monitor and manage network performance, identify and troubleshoot problems, and automate the deployment of new services and applications. SNMA also allows for scalability to meet the needs of any organization, regardless of size or complexity. With SNMA, network administrators can quickly and accurately identify problems, increase network uptime, and reduce time spent on manual tasks. The SNMA provides the ability to adjust configurations quickly and respond to changes in the network environment. It can help reduce costs and improve the efficiency of network operations. This paper proposed an intelligent network management automation algorithm for network administration and management in 5G communication networks. The proposed algorithm achieved 91.82% of remote network administration, 95.25% of global network administration, 96.59% of urban network administration, and 95.07% of local network administration. It creates a single submission to the network to make configuration changes, register network resources, manage users’ IP addresses, and filter packets to ensure information security and other tasks.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

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