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Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
Published on: November 26, 2019
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Performance analysis of network automation techniques for dense IP networks.
Mohammad M Abdellatif1, Osama Desouki2, Mohamed AbdelRaheem3
1Electrical Engineering Department, The British University in Egypt, Cairo, 11837, Egypt. Mohammad.abdellatif@bue.edu.eg.
Scientific Reports
|March 20, 2026
Summary
Network automation significantly reduces time in network deployment. Automated tools for topology creation, configuration generation, and testing offer substantial efficiency gains over manual methods.
Area of Science:
- Computer Science
- Network Engineering
Background:
- Network automation (NA) is a rapidly advancing field.
- NA offers significant time and effort savings compared to traditional network management.
Purpose of the Study:
- To evaluate automated tools for network topology creation.
- To compare automated configuration generation with manual methods.
- To assess the performance of network automation in testing.
Main Methods:
- Evaluation of topology creation tools: EVE-NG, Pllama, Container LAB.
- Comparison of configuration generation: Nokia Komodo, Python scripting, manual Excel.
- Execution of test cases across CLASSIC-CLI, MD-CLI, and NETCONF.
Main Results:
- Automated topology creation was 4.5 times faster than manual methods.
- Automated configuration generation showed a 10% improvement over manual processes.
- Automated test execution was 11 times faster than manual testing.
Conclusions:
- Network automation substantially decreases deployment time across all evaluated stages.
- The adoption of NA tools is crucial for enhancing network deployment efficiency.
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