摘要
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.
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.
出处
《光子学报》
EI
CAS
CSCD
北大核心
2005年第3期419-423,共5页
Acta Photonica Sinica
基金
SupportedbyNationalHitechProject(863)(No.2001AA121073)
