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Interdomain Traffic Control over Multiple Links Based on Genetic Algorithm

机译:基于遗传算法的多个链路跨域交通控制

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Network operators must have control over the flow of traffic into, out of, and across their networks. Usually, changes of interdomain traffic affect intradomain traffic in other domains. We propose an approach to control interdomain traffic over multiple links based on prefixes. Transit Autonomous System (AS) measure the flow of traffic and cooperate with other ASes in balancing interdomain traffic. Using the data of interdomain traffic and intradomain traffic measured in transit networks, the approach evaluates the cost of transit networks. We present a genetic algorithm to specify a link for prefix in AS neighbors with the objective of minimizing costs and configuration changes. In order to decrease the complex of calculation, we analysis the distribution of traffic and propose an approach to select popular prefixes. A example verify the availability and effectiveness of the algorithm.
机译:网络运营商必须控制流量流入,脱离其网络。通常,跨域交通的变化会影响其他域内的局部流量。我们提出了一种基于前缀的多个链路控制跨域流量的方法。过境自主系统(AS)测量交通流量,并在平衡跨域交通中与其他原因配合。使用在运输网络中测量的跨域流量和境内流量的数据,方法评估过境网络的成本。我们介绍了一种遗传算法,以指定作为邻居的前缀链接,其目的是最小化成本和配置更改。为了减少计算复杂,我们分析了交通的分布并提出了一种选择流行前缀的方法。示例验证了算法的可用性和有效性。

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