School of Science, Xi'an Technological University, Xi'an 710021, China.
School of Computer Science and Technology, Xidian University, Xi'an 710071, China.
Sensors (Basel). 2022 Dec 7;22(24):9579. doi: 10.3390/s22249579.
The elastic optical network (EON) adopting virtual network function (VNF) is a new type of network, in which the routing, spectrum, and data center allocation are key and challenging problems, and solving these three problems simultaneously can not only improve the network efficiency for network providers, but also let users obtain better service. However, few existing works handle these three problems simultaneously. To tackle the three problems simultaneously, given a set of network function chains (i.e., a set of tasks), we set up a new multi-objective optimization model in which the total length of paths for all tasks is minimized, the totally occupied spectrums are minimized, and the loads on all data centers are most balanced, simultaneously. To solve the model, we design two new evolutionary algorithms. The experiments are conducted on 16 cases of 4 widely used types of networks, and the results indicate that the proposed model and algorithms are effective.
采用虚拟网络功能（VNF）的弹性光网络（EON）是一种新型网络，其中路由、频谱和数据中心分配是关键和具有挑战性的问题，同时解决这三个问题不仅可以提高网络提供商的网络效率，还可以让用户获得更好的服务。然而，很少有现有的工作同时处理这三个问题。为了同时处理这三个问题，对于一组网络功能链（即一组任务），我们建立了一个新的多目标优化模型，其中所有任务的路径总长度最小化，总占用频谱最小化，并且所有数据中心的负载最平衡。为了解决这个模型，我们设计了两个新的进化算法。实验在 4 种广泛使用的网络类型的 16 个案例上进行，结果表明所提出的模型和算法是有效的。
