School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin 541004, China.
School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China.
Sensors (Basel). 2023 Feb 17;23(4):2259. doi: 10.3390/s23042259.
In a harsh environment, function aggregation of air-ground integrated network service function chaining (SFC) deployment can easily cause network load imbalance, which affects the network security and reliability. In this study, a task-similarity-based virtual network function (VNF) aggregation scheme was proposed. It considered air-ground network resource consumption and load balance before SFC mapping. A model for selecting VNFs to be aggregated based on task similarity was built. The tasks were classified based on their similarity. Furthermore, the VNFs to be aggregated were selected within the class under the constraints of the underlying physical resources. Load balancing was achieved by adjusting the similarity threshold. Moreover, an SFC mapping selection scheme based on network resource awareness was used to obtain the most suitable physical nodes for single-chain and multi-chain mapping according to various attributes of physical network nodes. The simulation results indicated that the proposed scheme with a better load balance design outperformed existing works on VNF aggregation. We also demonstrated that the task-similarity-based scheme was resource-consumption efficient and effective.
在恶劣的环境中,空天地一体化网络服务功能链(SFC)部署的功能聚合很容易导致网络负载不平衡,从而影响网络的安全性和可靠性。在本研究中,提出了一种基于任务相似性的虚拟网络功能(VNF)聚合方案。它在 SFC 映射之前考虑了空天地网络资源消耗和负载平衡。建立了基于任务相似性选择要聚合的 VNF 的模型。根据任务的相似性对任务进行分类。然后,在底层物理资源的约束下,在类内选择要聚合的 VNF。通过调整相似性阈值来实现负载平衡。此外,还使用了一种基于网络资源感知的 SFC 映射选择方案,根据物理网络节点的各种属性,为单链和多链映射选择最合适的物理节点。仿真结果表明,所提出的具有更好负载平衡设计的方案在 VNF 聚合方面优于现有工作。我们还证明了基于任务相似性的方案在资源消耗方面是高效和有效的。