Xiangyu Yin, X. Chen, Tao Wu, Liang Li, Qing Li, Mingfeng Zhao, Bin Xiang, Lingyun Liu
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引用次数: 0
Abstract
Service Function Chaining (SFC) has become a typical network service delivery approach in software-defined networking/ network function virtualization (SDN/NFV) network architectures. The complex network topology and dynamic nature of network resources in NFV networks have made the orchestration of service function chains a research hotspot and challenge. Existing studies consider mapping various types of virtual network function (VNF) nodes in the virtual service function chain to the underlying physical network, assuming that physical nodes can accommodate all types of VNF services, which imposes high demands on the performance of the physical network. In response to the aforementioned issues, this paper proposes a novel network architecture for scenarios where the physical network is intractable. To validate the effectiveness of the proposed network architecture, mathematical programming algorithms and genetic algorithms are employed to conduct experiments on the orchestration of SFC.