Optimization of elapsed time of automation for large-scale traditional networks and proposing new automation scripts

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Tarih

2022

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Institute of Electrical and Electronics Engineers Inc.

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

Traditional networks are of commonly and broadly vital usage. However, the rise in the number of devices in these networks has led to difficulty in managing, monitoring, and maintaining such networks. Therefore, IT firms have started to resort to solutions that make managing traditional networks much easier and much friendlier. The automation of traditional networks is perceived to be an optimal solution to this problem to better manage and handle these networks. The automation process is demonstrated to make those networks more efficient with a minimum level of cost and personnel. In this paper, a number of problems faced by network engineers have been discussed and solutions have been also put forward. In addition to the development of automation software called Automation Scripts Code ASC, this software generates a number of scripts that automate traditional networks. Python has been used as a programming language. It is worth noting that the time taken to send the configuration to the traditional network devices has been taken into consideration. The configuration process took only 6 seconds to send the configuration to 36 Cisco devices. In light of this fact, this process is demonstrated to be the finest result obtained compared to the result of previous work.

Açıklama

Anahtar Kelimeler

Computer Networks, Network Automation, Python Scripting, Traditional Networks

Kaynak

HORA 2022 - 4th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings

WoS Q Değeri

Scopus Q Değeri

N/A

Cilt

Sayı

Künye

Altalebi, O. W. J., Ibrahim, A. A. (2022). Optimization ofelapsed time of automation for large-scale traditional networks and proposing new automation scripts. In 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications ,IEEE.