多层网络中的联合资源配置方案

在多层网络的资源配置中，为了实现备份资源在各网络层的最大共享，在综合考虑网络各层的资源使用信息和拓扑信息的基础上，提出了一种联合的资源配置方案.在建立资源分配方案的整数线性规划模型的同时，提出了适合解决大规模网络的遗传算法.数值结果表明:联合资源配置方案可以更好地共享各网络层的备份资源，从而使多层网络具有更高的带宽利用率和更低的运营成本.由于引入了各网络层的协调，从而防止了回路问题.

Joint Capacity Allocation in Multi-layer Survivable Networks

A joint capacity allocation approach is proposed to optimize spare capacity in multi-layer survivable networks. Depending on a full overview of all network layers, the joint capacity allocation approach can realize the maximum sharing of spare capacity among layers. The spare capacity allocation problem in multi-layer survivable networks is formulated through Integer Linear Programming, while for large-scale networks, a genetic algorithm is also proposed for possible optimal solution. Numerical results illustrate that the proposed approach is much more cost-effective. Due to the introduction of coordination among different layers, the proposed approach can also avoid the backhauling problem.