论文标题
基于跨域虚拟网络嵌入的无线网络的多目标资源优化
Multi Objective Resource Optimization of Wireless Network Based on Cross Domain Virtual Network Embedding
论文作者
论文摘要
虚拟网络体系结构的快速开发使无线网络可以广泛使用。随着人工智能（AI）行业在日常生活中的普及，无线网络的有效资源分配已成为一个问题。特别是当网络用户从不同管理域请求无线网络资源时，他们仍然面临许多实际问题。从虚拟网络嵌入（VNE）的角度来看，本文设计并实现了用于无线网络资源分配的多目标优化VNE算法。虚拟网络中的资源分配本质上是为虚拟网络请求（VNR）分配基本资源的问题。根据拟议的目标公式，我们考虑优化映射成本，网络延迟和VNR接受率。 VNE通过节点映射和链接映射完成。在实验和仿真阶段，它与其他VNE算法进行了比较，在上述三个指标中，本文提出的跨域VNE算法是最佳的。这显示了该算法在无线网络资源分配中的有效性。
The rapid development of virtual network architecture makes it possible for wireless network to be widely used. With the popularity of artificial intelligence (AI) industry in daily life, efficient resource allocation of wireless network has become a problem. Especially when network users request wireless network resources from different management domains, they still face many practical problems. From the perspective of virtual network embedding (VNE), this paper designs and implements a multi-objective optimization VNE algorithm for wireless network resource allocation. Resource allocation in virtual network is essentially a problem of allocating underlying resources for virtual network requests (VNRs). According to the proposed objective formula, we consider the optimization mapping cost, network delay and VNR acceptance rate. VNE is completed by node mapping and link mapping. In the experiment and simulation stage, it is compared with other VNE algorithms, the cross domain VNE algorithm proposed in this paper is optimal in the above three indicators. This shows the effectiveness of the algorithm in wireless network resource allocation.
