An Efficient Multi-Topology Construction Method for Scheduling Mobile Data Flows in Software-Defined Networking

Chi Zhang, Haojiang Deng, Rui Han*

*Corresponding author for this work

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Abstract

In mobile networks, a content server can provide multiple services simultaneously to a mobile device, generating multiple data flows. As the device moves, the transmission path in the wired network may need to be switched to maintain service continuity. However, a single switching path may not be able to accommodate all the flows, potentially leading to congestion and a degraded user experience. To address this challenge, we propose a multi-topology routing-based mobile data scheduling method that dynamically switches flows across multiple paths to enhance flexibility and load balancing. The performance of this method is significantly influenced by the construction of logical topologies. Well-designed topologies provide high-bandwidth, low-latency paths to all possible destination nodes, while poorly designed topologies waste switch capacity and fail to achieve these goals. In this paper, we introduce an efficient multi-topology construction method for scheduling mobile data flows in software-defined networking (SDN). Our approach optimizes and balances transmission capacity for each destination node while adhering to the flow entry constraints of switches. Simulations demonstrate that our method consistently outperforms the single-path switching method and the other two multi-topology construction methods in terms of packet delay, packet loss rate, and network throughput, regardless of the device’s new location.

Original languageEnglish
Article number11568
JournalApplied Sciences (Switzerland)
Volume14
Issue number24
DOIs
Publication statusPublished - Dec 2024
Externally publishedYes

Keywords

  • flow scheduling
  • mobility
  • multi-topology routing
  • software-defined networking

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Zhang, C., Deng, H., & Han, R. (2024). An Efficient Multi-Topology Construction Method for Scheduling Mobile Data Flows in Software-Defined Networking. Applied Sciences (Switzerland), 14(24), Article 11568. https://doi.org/10.3390/app142411568