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NetPerfMeter supports randomised frame rate and frame size, to create variable bitrate (VBR) flows. The following distributions are currently available:
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* const<value>: Constant, i.e.always the same. Example: a frame rate const1000 for means all frames have a size of 1000 bytes.
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* uniform<a>,<b>: Uniformly distributed from the interval [a,b). Example: uniform900,1100.
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* exp<p>: Exponential distribution with mean <mean>. Example: exp1000.
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* pareto<location>,<shape>: Pareto distribution with location <location> and shape <shape>. Example: pareto0.166667,1.5.
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* normal<mean>,<stddev>: Normal distribution with mean <mean> and standard deviation <stddev>. Example: normal1000,500.
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*<tt>const<em><value></em>,<em><b></em></tt>: Constant, i.e. always the same setting <em><value></em>. Example: a frame rate const1000 means that all frames have a size of 1000 bytes.
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*<tt>uniform<em><a></em>,<em><b></em></tt>: Uniform distribution from the interval [a,b). Example: uniform900,1100.
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*<tt>exp<em><p></em></tt>: Exponential distribution with mean <em><mean></em>. Example: exp1000.
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*<tt>pareto<em><location></em>,<em><shape></em></tt>: Pareto distribution with location <em><location></em> and shape <em><shape></em>. Example: pareto0.166667,1.5.
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*<tt>normal<em><mean></em>,<em><stddev></em></tt>: Normal distribution with mean <em><mean></em> and standard deviation <em><stddev></em>. Example: normal1000,500.
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Note that normal distribution may result in negative values, which may be ignored (frame size) or interpreted as saturated traffic (frame rate). Use truncnormal to prevent negative values.
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* truncnormal<mean>,<stddev>: Truncated normal distribution with mean <mean> and standard deviation <stddev>, i.e. normal distribution without negative values. Example: truncnormal1000,500.
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*<tt>truncnormal<em><mean></em>,<em><stddev></em></tt>: Truncated normal distribution with mean <em><mean></em> and standard deviation <em><stddev></em>, i.e. normal distribution without negative values. Example: truncnormal1000,500.
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