摘要
随着大规模多层多域光网络的发展,基于策略和约束限制的路径计算变得非常困难,选路技术成为GMPLS/ASON光网络的核心问题之一。综合GMPLS控制平面和PCE的优点提出了一种适用于多层多域光网络的新型双路由引擎体系结构。通过群引擎和单元引擎的配合使用,可以有效地实现复杂多约束条件下路径计算的优化过程。论文给出了双路由引擎结构的功能组成,分析了其中群引擎与单元引擎之间的协作关系,针对多域和多层路由方案进行了性能仿真分析。
With the development of large-scale, multi-region and multi-layer networks, policy-based and constraintbased path computation is more and more complicated and dynamic routing becomes one of the key issues in GMPLS/ASON networks. To combine the advantages of both GMPLS control plane and PCE, novel dual routing engine architecture of multi-layer and multi-region scalable optical networks is proposed in this paper. The collaboration of group engine and unit engine makes it effective to optimize path computation especially under the condition of complex multi-constraints. The functional architecture of dual routing engine is detailed. Different potential cooperation relationships between group engine and unit engine are investigated and simulation results for multi-region and multi-layer routing schemes are analyzed.
基金
国家863计划(No2009AA01Z255)
国家自然科学基金(No60772022)
教育部新世纪优秀人才计划(NoNCET-05-0112)
教育部长江学者和创新团队发展计划(NoIRT0609)
高等学校学科创新引智计划(NoB07005)