基于H1总线的信息网络业务流分析

Selfsimilar traffic in information network based on H1 fieldbus

通过对基于H1总线的信息网络过程监控层的业务量测量与分析,证实了该业务量具有典型的统计自相似性.从理论上研究了多AR1序列累加生成自相似流的机理和多个自相似流的累加过程,给出了H1总线业务量自相似性产生的原因.结果表明,基于H1总线的信息网络过程监控层的网络流量服从统计自相似分布,是一种具有典型长相关性的网络流.

The paper demonstrates that the traffic of foundation fieldbus （FF） is statistically self-similar, that none of the commonly used traffic models is able to capture this fractal behaviour, that such behaviour has serious implications for design, control, and analysis of lnfranet and lntranet, and that aggregating streams of such traffic typically intensifier the self-similarity instead of smoothing it. The reason why self-similar process is built on the superposition of ARI processes and the superposition of other self-similar processes is analysed. It is concluded that the traffic has self-similarity in information networks based on H1 fieldbus.