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Analysis of Self-similar Traffic Based on the On/Off Model

机译:基于开/关模型的自我相似流量分析

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This paper analyzes the influence of self-similar traffic on Ethernet based on the On/Off model, which treats the self-similar process as the superposition of tremendous data sources with heavy-tailed distribution. Simulated in several scenarios with different H parameter, the result indicates that self-similar traffic has negative influence on the performance of networks at delay, throughput and other aspects. As a significant property, it has really brought great challenge to the deeper research of today's network.
机译:本文根据开/关模型分析了以太网上自相比流量的影响,这将自类似过程视为具有重型分布的巨大数据源的叠加。在具有不同H参数的几种情况下模拟,结果表明自类似的流量对延迟,吞吐量和其他方面的网络性能产生负面影响。作为一个重要的财产,它对今天网络的更深入的研究确实提出了巨大的挑战。

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