现实的数据包重排序网络仿真和仿真

Proceedings of the 11th ACM Conference on Emerging Networking Experiments and Technologies Pub Date : 2015-12-01 DOI:10.1145/2716281.2836110

Aisha Syed, R. Ricci

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引用次数: 0

摘要

我们提出了一种算法，该算法测量数据包重排序密度(RD)度量并生成重排序序列。这些序列可以被模拟器或模拟器使用，以一种重新创建原始RD的方式精确地和可重复地重新排序数据包。我们表明，我们的算法对于一系列现实的重新排序场景是有效的，并提出了对使用它的Dummynet模拟器的扩展。

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Realistic packet reordering for network emulation and simulation

We present an algorithm that takes measurements of the packet Reorder Density (RD) metric and generates reordering sequences. These sequences can be used by a simulator or emulator to precisely and repeatably reorder packets in a way that recreates the original RD. We show that our algorithm is efficient for a range of realistic reordering scenarios, and present an extension to the Dummynet emulator that uses makes use of it.

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Proceedings of the 11th ACM Conference on Emerging Networking Experiments and Technologies

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