在分层图模型的基础上,本文提出一种以最小化全网光路总代价为优化目标的 IP over WDM 光网络动态路由优化模型,设计了一种针对该模型的在线综合路由算法—MCTLP(Minimizing the Cost of Total Lightpaths),MCTLP 通过综合考虑 IP 逻辑...在分层图模型的基础上,本文提出一种以最小化全网光路总代价为优化目标的 IP over WDM 光网络动态路由优化模型,设计了一种针对该模型的在线综合路由算法—MCTLP(Minimizing the Cost of Total Lightpaths),MCTLP 通过综合考虑 IP 逻辑层带宽资源分配和 WDM 光物理层波长链路资源的占用以优化网络资源。与两种有代表性的 IP over WDM 光网络路由算法的性能仿真对比表明:MCTLP 能够在 IP 逻辑层和 WDM 光物理层都使用较少的链路以承载 IP 业务流,接纳更多的 IP 业务连接请求,有效地降低网络阻塞率。展开更多
There were many contradictory evaluation criteria to select next-hop in the delay-disruption tolerance networks(DTN).To solve this problem,an attribute hierarchical model was proposed,in which the predefined criteria ...There were many contradictory evaluation criteria to select next-hop in the delay-disruption tolerance networks(DTN).To solve this problem,an attribute hierarchical model was proposed,in which the predefined criteria were summarized as static identity attributes,forwarding desire attributes and delivery capability attributes(IDC).Based on this model,a novel multi-attributes congestion aware routing(MACAR) scheme with uncertain information for next-hop selection was presented,by adopting an decision theory to aggregate attributes with belief structure and computing partial ordering relations.The simulation results show that MACAR presents higher successful delivery rate,lower average delay and effectively alleviate congestion.展开更多
文摘在分层图模型的基础上,本文提出一种以最小化全网光路总代价为优化目标的 IP over WDM 光网络动态路由优化模型,设计了一种针对该模型的在线综合路由算法—MCTLP(Minimizing the Cost of Total Lightpaths),MCTLP 通过综合考虑 IP 逻辑层带宽资源分配和 WDM 光物理层波长链路资源的占用以优化网络资源。与两种有代表性的 IP over WDM 光网络路由算法的性能仿真对比表明:MCTLP 能够在 IP 逻辑层和 WDM 光物理层都使用较少的链路以承载 IP 业务流,接纳更多的 IP 业务连接请求,有效地降低网络阻塞率。
基金Project(60973127) supported by the National Natural Science Foundation of ChinaProject(09JJ3123) supported by the Natural Science Foundation of Hunan Province,China
文摘There were many contradictory evaluation criteria to select next-hop in the delay-disruption tolerance networks(DTN).To solve this problem,an attribute hierarchical model was proposed,in which the predefined criteria were summarized as static identity attributes,forwarding desire attributes and delivery capability attributes(IDC).Based on this model,a novel multi-attributes congestion aware routing(MACAR) scheme with uncertain information for next-hop selection was presented,by adopting an decision theory to aggregate attributes with belief structure and computing partial ordering relations.The simulation results show that MACAR presents higher successful delivery rate,lower average delay and effectively alleviate congestion.
