DescriptionBurst Error Model
The BurstErrorModel determines which bursts of packets are flagged as errored corresponding to an underlying distribution, burst-event error rate, and burst size. Error events are decided based on a uniformly distributed random variable called the decision parameter (m_ranVariable). Every transmission of a packet triggers a comparison between the decision variable and the error rate (m_burstRate). A secondary decision variable indicates a new error event during which upcoming packets will be errored until the number of dropped packets equals to the burst size or until the newly generated decision variable is again smaller than the error rate. Similar to the decision parameter, in this model, the burst size (m_burstSize) is another uniformly distributed random variable within a tunable interval.
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