基于k可分流模型的MPLS网络拥塞最小化启发式算法

Chengwen Jiao, Wenguo Yang, Suixiang Gao, Yinben Xia, Mingming Zhu
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引用次数: 5

摘要

在MPLS (multiple protocol label-switched)网络中,商品(报文)通过lsp (label-switched paths)传输。为了降低总成本和加强集中管理,MPLS网络对商品的路径数进行了限制。为了保持用户的服务质量(QoS),必须满足每种商品的需求。在上述情况下,网络的某些链路可能会过载,从而严重影响整个网络的性能。针对这一问题,我们首先建立了两个数学模型,即弧径模型和弧流模型。其次,我们设计了一个启发式算法,快速找到每种商品的路径,然后分配它们的需求。最后,在一组中等规模的实例上对计算结果进行了测试,以证明本文方法的有效性。
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The k-splittable flow model and a heuristic algorithm for minimizing congestion in the MPLS networks
In the multiple protocol label-switched (MPLS) networks, the commodities (packets) are transmitted by the label-switched paths (LSPs). For the sake of reducing the total cost and strengthening the central management, the MPLS networks restrict the number of paths that a commodity can use. For maintaining the quality of service (QoS) of the users, the demand of each commodity must be satisfied. Under the above conditions, some links of the network may be too much loaded, which affecting the performance of the whole network drastically. For this problem, we first establish two mathematical models, namely the arc-path and arc-flow model. Second, we design a heuristic algorithm which quickly finds paths for each commodity, and then allocate demands for them. In the last, the computational results are tested on a set of medium-sized instances to show the effectiveness of our approach.
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