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Inferring statistics of flow from aggregated-flow measurement

机译:从总流量测量推断流量统计

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摘要

For a statistical perspective of global traffic flows on a large network, we have proposed a way to infer unobservable statistics of each flow from measurements of aggregated-flows (sums of flows), which are easily measured at some links (router interfaces) in the network. In this paper, to relax some limitations in the previous work, we discuss some improvement: i) determining minimum rates of flows, ii) indirectly inferring statistics of some flows from those of other flows, iii) rounding (quantization) by an adequate bin size, and show simulation results, which indicate effectiveness of our improvement.
机译:为了从大型网络上全局流量的统计角度出发,我们提出了一种从聚合流量(流量总和)的测量值推断每个流量的不可观察统计信息的方法,该方法很容易在聚合网络的某些链路(路由器接口)上进行测量。网络。在本文中,为放松先前工作中的某些局限性,我们讨论了一些改进:i)确定最小流量,ii)从其他流量中间接推断出某些流量的统计数据,iii)通过适当的bin进行四舍五入(量化)尺寸,并显示仿真结果,表明我们的改进效果。

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