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Minimum interference routing with applications to MPLS traffic engineering

机译:应用于MPLS流量工程的最小干扰路由

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This paper presents a new algorithm for dynamic routing of bandwidth-guaranteed tunnels when tunnel routing requests arrive one-by-one and there is no a priori knowledge regarding future requests. This problem is motivated by service provider needs for fast deployment of bandwidth-guaranteed services and the consequent need in backbone networks for fast provisioning of bandwidth-guaranteed paths. Offline routing algorithms cannot be used since they require a priori knowledge of all tunnel requests that are to be routed. Instead, on-line algorithms that handle requests arriving one-by-one and that satisfy as many potential future demands as possible are needed. The newly developed algorithm is an on-line algorithm and is based on the idea that a newly routed tunnel must follow a route that does not "interfere too much" with a route that may be critical to satisfy a future demand. We show that this problem is NP-hard. We then develop a path selection heuristic that is based on the idea of deferred loading of certain "critical" links. These critical links are identified by the algorithm as links that, if heavily loaded, would make it impossible to satisfy future demands between certain ingress-egress pairs. Like min-hop routing, the presented algorithm uses link-state information and some auxiliary capacity information for path selection. Unlike previous algorithms, the proposed algorithm exploits any available knowledge of the network ingress-egress points of potential future demands even though the demands themselves are unknown.
机译:本文提出了一种新的动态带宽保证隧道路由算法,当隧道路由请求一个接一个地到达并且没有关于未来请求的先验知识时。该问题是由服务提供商对快速部署带宽保证的服务的需求以及随之而来的在骨干网中对快速提供带宽保证的路径的需求引起的。无法使用脱机路由算法,因为它们需要先了解所有要路由的隧道请求。取而代之的是,需要一种处理一对一到达的请求并满足尽可能多的潜在将来需求的在线算法。新开发的算法是一种在线算法,其基于以下思想:新路由的隧道必须遵循不会“干扰太多”的路由,而该路由对于满足将来的需求可能至关重要。我们证明此问题是NP难题。然后,我们基于延迟加载某些“关键”链接的想法,开发了一种路径选择启发式方法。这些关键链接被算法标识为链接,如果负载很重,这些链接将无法满足某些入口-出口对之间的未来需求。与最小跳路由类似,该算法使用链路状态信息和一些辅助容量信息进行路径选择。与以前的算法不同,即使需求本身是未知的,所提出的算法也可以利用潜在的未来需求的网络入口-出口点的任何可用知识。

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