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Capacity Optimization based on Traffic Grooming in Transport Networks

机译:交通网络中基于流量疏导的容量优化

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The demand for increasing capacity in service provider's networks has led to the development of different transport technologies such as PDH, SDH/SONET, WDM/DWDM, OTN, Ethernet, MPLS-TP etc. which support different types of traffic requirements. Transport networks get augmented due to the surge in capacity requirements. The need for shorter time to provision capacity along with the continuous growth in transport networks typically result in sub-optimal utilization of network resources. Optimization involves consideration of the existing traffic demands for services already provisioned and providing alternate paths and resources based on some global metrics. In multi-layer multi-technology transport networks, this work focuses on optimization of capacity consumed globally for the complete network instead of optimizing capacity in each layer network independently so that it could result in significant benefits in utilization of the existing network. Techniques like traffic grooming across layers and topologies between every pair of nodes by creating tunnels or bearers are used to find the optimum capacity usage. In terms of total capacity used and the number of flows or cross-connections created, the performance of the proposed approach is compared with the provisioning simulated for service requests one-by-one and it is found that the grooming based approach results in lower capacity utilization and number of flows or cross-connections created.
机译:服务提供商网络对容量不断增长的需求导致了支持不同类型流量需求的不同传输技术的发展,例如PDH,SDH / SONET,WDM / DWDM,OTN,以太网,MPLS-TP等。由于容量需求激增,传输网络得到了增强。随着传输网络的不断增长,需要更短的时间来提供容量通常会导致网络资源的利用不足。优化涉及考虑已配置服务的现有流量需求,并基于某些全局指标提供备用路径和资源。在多层多技术传输网络中,这项工作侧重于优化整个网络的全局消耗容量,而不是独立地优化每个层网络中的容量,从而可以在利用现有网络方面带来显着的收益。通过创建隧道或承载,可以在每对节点之间跨层进行流量梳理和拓扑调整等技术,以找到最佳的容量利用率。就使用的总容量以及创建的流或交叉连接的数量而言,将所提出的方法的性能与针对服务请求进行的仿真配置进行了一对一的比较,发现基于修饰的方法会导致容量降低利用率以及创建的流或交叉连接的数量。

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