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

Samiullah Mehraban and Rajesh K. Yadav

International Journal of Network Management, 2025, vol. 35, issue 3

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.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/nem.70017

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:intnem:v:35:y:2025:i:3:n:e70017

Access Statistics for this article

More articles in International Journal of Network Management from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().