Utility functions to operate on percept data.

Utility functions to operate on percept data. These functions should be considered experimental. Behaviour may change in future releases.


activities2count(Acts::#activity{}, StartTs::timestamp()) -> Result

  • Result = [{Time, ProcessCount, PortCount}]
  • Time = float()
  • ProcessCount = integer()
  • PortCount = integer()

Calculate the resulting active processes and ports during the activity interval. Also checks active/inactive consistency. A task will always begin with an active state and end with an inactive state.

activities2count(Acts, StartTs, Type) -> term()

activities2count2(Acts, StartTs) -> term()

mean(List::[number()]) -> {Mean, StdDev, N}

  • Mean = float()
  • StdDev = float()
  • N = integer()

Calculates the mean and the standard deviation of a set of numbers.

minmax(Data::[{X, Y}]) -> {MinX, MinY, MaxX, MaxY}

  • X = number()
  • Y = number()
  • MinX = number()
  • MinY = number()
  • MaxX = number()
  • MaxY = number()

Returns the min and max of a set of 2-dimensional numbers.

minmax_activities(Activities::[#activity{}], Count::integer()) -> {integer(), integer()}

Calculates the minimum and maximum of runnable activites (processes and ports) during the interval of reffered by the activity list.

runnable_count(Activities, StartCount) -> term()

seconds2ts(Seconds::float(), StartTs::{integer(), integer(), integer()}) -> timestamp()

Calculates a timestamp given a duration in seconds and a starting timestamp.

waiting_activities(Activities::[#activity{}]) -> FunctionList

  • FunctionList = [{Seconds, Mfa, {Mean, StdDev, N}}]
  • Seconds = float()
  • Mfa = mfa()
  • Mean = float()
  • StdDev = float()
  • N = integer()

Calculates the time, both average and total, that a process has spent in a receive state at specific function. However, if there are multiple receives in a function it cannot differentiate between them.

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