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An Experimental Study of New and Known Online Packet Buffering Algorithms

机译:新型在线分组缓冲算法的实验研究

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We present the first experimental study of online packet buffering algorithms for network switches. We consider a basic scenario in which m queues of size B have to be maintained so as to maximize the packet throughput. For this model various online algorithms with competitive factors ranging between 2 and 1.5 were developed in the literature. We first develop a new 2-competitive online algorithm, called HSFOD, which is especially designed to perform well under real-world conditions. In our experimental study we have implemented all the proposed algorithms, including HSFOD, and tested them on packet traces from benchmark libraries. We have evaluated the experimentally observed competitiveness, the running times, memory requirements and actual packet throughput of the strategies. The tests were executed for varying values of m and B as well as varying switch speeds. It shows that greedy-like strategies and HSFOD perform best in practice.
机译:我们目前对网络交换机的在线数据包缓冲算法进行了首次实验研究。我们考虑一个基本场景,其中必须维护m个大小为B的队列,以使数据包吞吐量最大化。对于该模型,文献中开发了竞争因素介于2和1.5之间的各种在线算法。我们首先开发了一种称为HSFOD的新型2竞争在线算法,该算法专门设计用于在现实条件下表现良好。在我们的实验研究中,我们实现了所有建议的算法,包括HSFOD,并在来自基准库的数据包跟踪中对其进行了测试。我们评估了实验观察到的竞争力,运行时间,内存需求和策略的实际数据包吞吐量。针对变化的m和B值以及变化的开关速度执行测试。它表明类似贪婪的策略和HSFOD在实践中表现最佳。

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