Contains all the supporting tables and figures.

Virtualization and resource isolation techniques have enabled the efficient sharing of networked resources. How to control network resource allocation accurately and flexibly has gradually become a research hotspot due to the growth in user demands. Therefore, this paper presents a new edge-based virtual network embedding approach to studying this problem that employs a graph edit distance method to accurately control resource usage. In particular, to manage network resources efficiently, we restrict the use conditions of network resources and restrict the structure based on common substructure isomorphism and an improved spider monkey optimization algorithm is employed to prune redundant information from the substrate network. Experimental results showed that the proposed method achieves better performance than existing algorithms in terms of resource management capacity, including energy savings and the revenue-cost ratio.虚拟化与资源隔离技术已实现网络资源的高效共享。随着用户需求的持续增长，如何精准且灵活地管控网络资源分配，逐渐成为研究热点。为此，本文提出一种新型基于边缘的虚拟网络嵌入（virtual network embedding）方法以研究该问题，该方法采用图编辑距离（graph edit distance）技术实现资源使用量的精准管控。具体而言，为实现网络资源的高效管理，本文基于公共子结构同构（common substructure isomorphism）约束网络资源的使用条件与拓扑结构，并采用改进的蜘蛛猴优化（spider monkey optimization）算法对底层网络（substrate network）中的冗余信息进行剪枝。实验结果表明，所提方法在资源管理能力方面，包括节能效果与收益成本比，均优于现有算法。