Multi-domain routing techniques with topology aggregation in ASON networks

G. Maier, Chiara Busca, A. Pattavina
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引用次数: 24

Abstract

Thanks to the development of the automatic control plane (ASON and GMPLS standards) optical transport networks are able to provide bandwidth on demand service quickly and efficiently. But for this service to be really interesting to users the capability of seamlessly operating the network across multiple administrative domains should be developed. Multi-domain routing in ASON is a new challenging topic, especially if the target is a scalable solution. The paper investigates this topic and in particular it evaluates the effectiveness of the application of aggregation topology methods to the representation of network domains. These methods, initially devised for ATM networks, can be extended to ASON/GMPLS, as recommended by the Optical Interworking Forum (OIF). Topology aggregation limits the amount of topology information distributed throughout the network and the bandwidth occupation for control-plane signalling, improving scalability. On the other hand, concealing intra-domain topology details to other domains may limit the effectiveness of inter-domain routing. We analyze the behavior of the three topology-aggregation methods proposed by OIF (Simple Node, Full Mesh and Symmetric Star) comparing blocking probability in a multi-domain optical network under dynamic bandwidth-on-demand traffic. We further propose a new topology-aggregation scheme (Hybrid) with improved scalability and evaluate its performance in the case-study network compared to the other known schemes.
基于拓扑聚合的ASON多域路由技术
由于自动控制平面(ASON和GMPLS标准)的发展,光传输网络能够快速有效地提供带宽按需服务。但是为了使用户真正感兴趣,应该开发跨多个管理域无缝操作网络的能力。ASON中的多域路由是一个新的具有挑战性的主题,特别是当目标是可扩展的解决方案时。本文对这一问题进行了研究,特别评价了聚合拓扑方法在网络域表示中的应用效果。这些方法最初是为ATM网络设计的,根据光互联论坛(OIF)的建议,可以扩展到ASON/GMPLS。拓扑聚合限制了网络中分布的拓扑信息量和控制平面信令占用的带宽,提高了可扩展性。另一方面,将域内拓扑细节隐藏到其他域可能会限制域间路由的有效性。本文分析了简单节点(Simple Node)、全网格(Full Mesh)和对称星型(Symmetric Star)三种拓扑聚合方法在动态带宽按需流量下多域光网络阻塞概率的比较行为。我们进一步提出了一种具有改进可扩展性的新拓扑聚合方案(Hybrid),并与其他已知方案相比,在案例研究网络中评估了其性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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