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Edge-based traffic engineering for OSPF networks

机译:OSPF网络的基于边缘的流量工程

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This paper proposes and evaluates a novel, edge-based approach, which we call the k-set Traffic Engineering (TE) method, to perform traffic engineering in OSPF networks by partitioning traffic into uneven k-traffic sets. The traffic partitioning and splitting takes place only at network edges, leaving the core simple. We theoretically prove that if k is large enough, the k-set TE method achieves the general optimal traffic engineering where full-mesh overlaying and arbitrary traffic splitting, such as in MPLS, have to be used. We give an upper bound of the smallest k that achieves such a general optimum. In addition, we provide a constant worst case performance bound if k is smaller than the optimal k. Finding the optimal traffic splitting and routing for a given k is NP-hard. Therefore, we present a heuristic algorithm to handle the problem. The performance of the k-set TE method together with the proposed heuristic algorithm is evaluated by simulation. The results confirm that a fairly small k (2 or 4) can achieve good near-optimal traffic engineering. Overall, the k-set TE method provides a simple and efficient solution to achieve load balancing in OSPF networks. It follows the "smart edge, simple core" design rule of the Internet. It is also able to keep "the same path for the same flow," which is desirable and beneficial to TCP applications.
机译:本文提出并评估了一种新颖的基于边缘的方法,我们将其称为k集流量工程(TE)方法,通过将流量划分为不均匀的k流量集来执行OSPF网络中的流量工程。流量分配和拆分仅在网络边缘进行,使核心保持简单。我们从理论上证明,如果k足够大,则k集TE方法可实现一般的最佳流量工程,其中必须使用全网状覆盖和任意流量分割(例如在MPLS中)。我们给出了达到这种总体最优值的最小k的上限。此外,如果k小于最佳k,我们将提供恒定的最坏情况性能范围。找到给定k的最佳流量分配和路由选择是NP难的。因此,我们提出一种启发式算法来解决该问题。通过仿真评估了k-set TE方法与所提出的启发式算法的性能。结果证实,较小的k(2或4)可以实现良好的近似最佳流量工程。总体而言,k集TE方法提供了一种简单有效的解决方案,以实现OSPF网络中的负载平衡。它遵循Internet的“智能边缘,简单核心”设计规则。它还能够保持“相同流的相同路径”,这对于TCP应用程序来说是理想且有益的。

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