VNE-ABC：基于人工蜂群的网络虚拟化映射算法

VNE-ABC:Virtual Network Embedding Based on Artificial Bee Colony Algorithm

为解决虚拟网络映射资源开销大、效率低等问题,以降低底层网络映射开销为目标,建立虚拟网络映射问题的二进制组合优化模型,并提出一种基于人工蜂群的网络虚拟化映射算法VNE-ABC.实验结果表明:与现有的虚拟网络映射算法相比,该算法有效地降低了底层网络的开销,并提高了虚拟网络映射的成功率、平均收益和资源利用率.

To overcome the high cost and low efficiency faced by virtual network embedding, a binary combinatorial optimization model and a virtual network embedding algorithms based on artificial bee colony（ VNE-ABC ） were proposed. The objective function of VNE-ABC was to reduce the costs of substrate network. Results show that the costs of substrate network are reduced, and the success rate, average revenue of embedding and average usage of links are increased compared with the existing virtual network embedding algorithms.