Network topology detection system based on enhanced multi‐path detection algorithm

Abstract Traditional multi‐path detection algorithms struggle with low efficiency and accuracy in large‐scale, dynamic network environments, especially under load balancing, leading to false edges and degree dilation. To address this, an improved multi‐path topology system is designed, incorporating record tables, node parsing, an iterative search detection strategy, and timeout management. In experiments within a data center network, the proposed system achieved a detection time of 75.12 ms, with 3216 detection packets, a 20.12% redundant detection rate, and a topology accuracy of 98.12%, outperforming traditional algorithms and other systems. The proposed system also excels in bandwidth resource utilization, stability, and consistency, with detection times primarily between 70 ms and 80 ms. Overall, it significantly enhances detection efficiency and accuracy, improving network topology detection performance and reducing resource waste.

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Publication Details

Journal
ETRI Journal
Published
2025-08-18
DOI
https://doi.org/10.4218/etrij.2025-0037
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
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article

Network topology detection system based on enhanced multi‐path detection algorithm

X. Tong
ETRI Journal
Network Security and Intrusion Detection
article

Network topology detection system based on enhanced multi‐path detection algorithm

X. Tong
article en

Abstract

Abstract Traditional multi‐path detection algorithms struggle with low efficiency and accuracy in large‐scale, dynamic network environments, especially under load balancing, leading to false edges and degree dilation. To address this, an improved multi‐path topology system is designed, incorporating record tables, node parsing, an iterative search detection strategy, and timeout management. In experiments within a data center network, the proposed system achieved a detection time of 75.12 ms, with 3216 detection packets, a 20.12% redundant detection rate, and a topology accuracy of 98.12%, outperforming traditional algorithms and other systems. The proposed system also excels in bandwidth resource utilization, stability, and consistency, with detection times primarily between 70 ms and 80 ms. Overall, it significantly enhances detection efficiency and accuracy, improving network topology detection performance and reducing resource waste.

ETRI Journal
Hulunbuir University (CN)
Openalex Percentile: Top 77%
Network Security and Intrusion Detection
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