Performance Evaluation of Outgoing Interface Selection Method on Fortigate SD-WAN for Network Optimization

Reliable and high-performance network services are essential to facilitate communication between parent companies and subsidiaries as well as among the subsidiaries themselves. Challenges arise in managing and optimizing outgoing interface selection in an effective and reliable Software-Defined Wide Area Network (SD-WAN) environment. This research evaluates four outgoing interface selection methods, namely Manual, Best Quality, Lowest Cost, and Maximize Bandwidth (SLA), using a tree-based network topology simulated in GNS3 with FortiGate devices as part of the simulation. The results show that under simulated disturbances, such as limiting a single connection line to 10 kbps, the Manual, Best Quality, and Lowest Cost methods perform worse than the Maximize Bandwidth method. In contrast, the Maximize Bandwidth method outperformed the others, achieving only 0% packet loss, 22.275 ms one-way delay, and 7.03 ms jitter, while maintaining the ITU-T G.1010 standard at the preferred level. These findings highlight the reliability and effectiveness of the Maximize Bandwidth method in ensuring consistent data transmission even under fault conditions, while providing practical guidance for network engineers in configuring SD-WAN for uninterrupted high-quality network services in complex business environments.

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Publication Details

Journal
Kinetik Game Technology Information System Computer Network Computing Electronics and Control
Published
2025-05-08
DOI
https://doi.org/10.22219/kinetik.v10i2.2120
Citations
1
Primary Topic
Advanced Computing and Algorithms
Type
article
Field-Weighted Citation Impact
6.18
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article

Performance Evaluation of Outgoing Interface Selection Method on Fortigate SD-WAN for Network Optimization

Denar Regata Akbi, Mufti KholilRomadhoni, Larynt Sawfa Kenanga, Diah Risqiwati
1 citations
Kinetik Game Technology Information System Computer Network Computing Electronics and Control
Advanced Computing and Algorithms
6.18
article

Performance Evaluation of Outgoing Interface Selection Method on Fortigate SD-WAN for Network Optimization

Denar Regata Akbi, Mufti KholilRomadhoni, Larynt Sawfa Kenanga, Diah Risqiwati
article en
1 citations

Abstract

Reliable and high-performance network services are essential to facilitate communication between parent companies and subsidiaries as well as among the subsidiaries themselves. Challenges arise in managing and optimizing outgoing interface selection in an effective and reliable Software-Defined Wide Area Network (SD-WAN) environment. This research evaluates four outgoing interface selection methods, namely Manual, Best Quality, Lowest Cost, and Maximize Bandwidth (SLA), using a tree-based network topology simulated in GNS3 with FortiGate devices as part of the simulation. The results show that under simulated disturbances, such as limiting a single connection line to 10 kbps, the Manual, Best Quality, and Lowest Cost methods perform worse than the Maximize Bandwidth method. In contrast, the Maximize Bandwidth method outperformed the others, achieving only 0% packet loss, 22.275 ms one-way delay, and 7.03 ms jitter, while maintaining the ITU-T G.1010 standard at the preferred level. These findings highlight the reliability and effectiveness of the Maximize Bandwidth method in ensuring consistent data transmission even under fault conditions, while providing practical guidance for network engineers in configuring SD-WAN for uninterrupted high-quality network services in complex business environments.

Kinetik Game Technology Information System Computer Network Computing Electronics and Control
Universitas Muhammadiyah Malang (ID)
Openalex Percentile: Top 6%
Advanced Computing and Algorithms
6.18
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Performance Evaluation of Outgoing Interface Selection Method on Fortigate SD-WAN for Network Optimization — Denar Regata Akbi, Mufti KholilRomadhoni, et al. · Kinetik Game Technology Information System Computer Network Computing Electronics and Control (2025) | TGRS Research Map | TGRS