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Traffic Engineering Optimization in Hybrid Software‐Defined Networks: A Mixed Integer Non‐Linear Programming Model and Heuristic Algorithm

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Bibliographic Details
Title: Traffic Engineering Optimization in Hybrid Software‐Defined Networks: A Mixed Integer Non‐Linear Programming Model and Heuristic Algorithm
Authors: Samiullah Mehraban, Rajesh K. Yadav
Source: International Journal of Network Management. 35
Publisher Information: Wiley, 2025.
Publication Year: 2025
Description: In contemporary networking infrastructure, the integration of software‐defined networking (SDN) concepts with traditional networking methodologies has given rise to hybrid software‐defined networking (HSDN); as the current network infrastructure evolves, it combines the programmability of SDN with the established protocols of traditional network infrastructure. This paradigm shift introduces novel opportunities and challenges in traffic engineering (TE), necessitating innovative solutions to enhance network performance, resource utilization, and efficiency. In this study, we examined the challenges associated with TE in a hybrid SDN environment, where traditional network devices coexist alongside SDN nodes; we investigated the routing optimization of traffic engineering in a migrated hybrid network and formulated the problem as a mixed integer non‐linear programming model. We proposed a heuristic algorithm (H‐STE) that optimizes both the OSPF weight setting and the splitting ratio of SDN nodes in the hybrid environment. Extensive evaluations were conducted using real network topologies to validate our method. The results demonstrate that a 30% deployment ratio of SDN nodes significantly improves traffic engineering performance. Specifically, the Maximum Link Utilization (MLU) stabilizes at this ratio, indicating near‐optimal network efficiency. This research provides valuable insights for researchers, practitioners, and network architects navigating SDN, hybrid SDN, and traffic engineering optimization.
Document Type: Article
Language: English
ISSN: 1099-1190
1055-7148
DOI: 10.1002/nem.70017
Rights: Wiley Online Library User Agreement
Accession Number: edsair.doi...........c5bd52f1a89a40fa5d39031e1cf77341
Database: OpenAIRE
Description
Abstract:In contemporary networking infrastructure, the integration of software‐defined networking (SDN) concepts with traditional networking methodologies has given rise to hybrid software‐defined networking (HSDN); as the current network infrastructure evolves, it combines the programmability of SDN with the established protocols of traditional network infrastructure. This paradigm shift introduces novel opportunities and challenges in traffic engineering (TE), necessitating innovative solutions to enhance network performance, resource utilization, and efficiency. In this study, we examined the challenges associated with TE in a hybrid SDN environment, where traditional network devices coexist alongside SDN nodes; we investigated the routing optimization of traffic engineering in a migrated hybrid network and formulated the problem as a mixed integer non‐linear programming model. We proposed a heuristic algorithm (H‐STE) that optimizes both the OSPF weight setting and the splitting ratio of SDN nodes in the hybrid environment. Extensive evaluations were conducted using real network topologies to validate our method. The results demonstrate that a 30% deployment ratio of SDN nodes significantly improves traffic engineering performance. Specifically, the Maximum Link Utilization (MLU) stabilizes at this ratio, indicating near‐optimal network efficiency. This research provides valuable insights for researchers, practitioners, and network architects navigating SDN, hybrid SDN, and traffic engineering optimization.
ISSN:10991190
10557148
DOI:10.1002/nem.70017