aivika-4.1: A multi-paradigm simulation library

Copyright	Copyright (c) 2009-2015, David Sorokin <david.sorokin@gmail.com>
License	BSD3
Maintainer	David Sorokin <david.sorokin@gmail.com>
Stability	experimental
Safe Haskell	None
Language	Haskell2010

Simulation.Aivika.Server.Random

Description

Tested with: GHC 7.10.1

This module defines some useful predefined servers that hold the current process for the corresponding random time interval, when processing every input element.

Synopsis

Documentation

newRandomUniformServer Source

Arguments

:: Double	the minimum time interval
-> Double	the maximum time interval
-> Simulation (Server () a a)

Create a new server that holds the process for a random time interval distributed uniformly, when processing every input element.

By default, it is assumed that the server process cannot be preempted, because the handling of possible task preemption is rather costly operation.

newRandomUniformIntServer Source

Arguments

:: Int	the minimum time interval
-> Int	the maximum time interval
-> Simulation (Server () a a)

Create a new server that holds the process for a random time interval distributed uniformly, when processing every input element.

By default, it is assumed that the server process cannot be preempted, because the handling of possible task preemption is rather costly operation.

newRandomNormalServer Source

Arguments

:: Double	the mean time interval
-> Double	the time interval deviation
-> Simulation (Server () a a)

Create a new server that holds the process for a random time interval distributed normally, when processing every input element.

By default, it is assumed that the server process cannot be preempted, because the handling of possible task preemption is rather costly operation.

newRandomExponentialServer Source

Arguments

:: Double	the mean time interval (the reciprocal of the rate)
-> Simulation (Server () a a)

Create a new server that holds the process for a random time interval distributed exponentially with the specified mean (the reciprocal of the rate), when processing every input element.

By default, it is assumed that the server process cannot be preempted, because the handling of possible task preemption is rather costly operation.

newRandomErlangServer Source

Arguments

:: Double	the scale (the reciprocal of the rate)
-> Int	the shape
-> Simulation (Server () a a)

Create a new server that holds the process for a random time interval having the Erlang distribution with the specified scale (the reciprocal of the rate) and shape parameters, when processing every input element.

By default, it is assumed that the server process cannot be preempted, because the handling of possible task preemption is rather costly operation.

newRandomPoissonServer Source

Arguments

:: Double	the mean time interval
-> Simulation (Server () a a)

Create a new server that holds the process for a random time interval having the Poisson distribution with the specified mean, when processing every input element.

By default, it is assumed that the server process cannot be preempted, because the handling of possible task preemption is rather costly operation.

newRandomBinomialServer Source

Arguments

:: Double	the probability
-> Int	the number of trials
-> Simulation (Server () a a)

Create a new server that holds the process for a random time interval having the binomial distribution with the specified probability and trials, when processing every input element.

By default, it is assumed that the server process cannot be preempted, because the handling of possible task preemption is rather costly operation.

newPreemptibleRandomUniformServer Source

Arguments

:: Bool	whether the server process can be preempted
-> Double	the minimum time interval
-> Double	the maximum time interval
-> Simulation (Server () a a)

Create a new server that holds the process for a random time interval distributed uniformly, when processing every input element.

newPreemptibleRandomUniformIntServer Source

Arguments

:: Bool	whether the server process can be preempted
-> Int	the minimum time interval
-> Int	the maximum time interval
-> Simulation (Server () a a)

Create a new server that holds the process for a random time interval distributed uniformly, when processing every input element.

newPreemptibleRandomNormalServer Source

Arguments

:: Bool	whether the server process can be preempted
-> Double	the mean time interval
-> Double	the time interval deviation
-> Simulation (Server () a a)

Create a new server that holds the process for a random time interval distributed normally, when processing every input element.

newPreemptibleRandomExponentialServer Source

Arguments

:: Bool	whether the server process can be preempted
-> Double	the mean time interval (the reciprocal of the rate)
-> Simulation (Server () a a)

Create a new server that holds the process for a random time interval distributed exponentially with the specified mean (the reciprocal of the rate), when processing every input element.

newPreemptibleRandomErlangServer Source

Arguments

:: Bool	whether the server process can be preempted
-> Double	the scale (the reciprocal of the rate)
-> Int	the shape
-> Simulation (Server () a a)

Create a new server that holds the process for a random time interval having the Erlang distribution with the specified scale (the reciprocal of the rate) and shape parameters, when processing every input element.

newPreemptibleRandomPoissonServer Source

Arguments

:: Bool	whether the server process can be preempted
-> Double	the mean time interval
-> Simulation (Server () a a)

Create a new server that holds the process for a random time interval having the Poisson distribution with the specified mean, when processing every input element.

newPreemptibleRandomBinomialServer Source

Arguments

:: Bool	whether the server process can be preempted
-> Double	the probability
-> Int	the number of trials
-> Simulation (Server () a a)

Create a new server that holds the process for a random time interval having the binomial distribution with the specified probability and trials, when processing every input element.