-- | -- Module : Simulation.Aivika.Server.Random -- Copyright : Copyright (c) 2009-2016, David Sorokin <david.sorokin@gmail.com> -- License : BSD3 -- Maintainer : David Sorokin <david.sorokin@gmail.com> -- Stability : experimental -- Tested with: GHC 8.0.1 -- -- This module defines some useful predefined servers that -- hold the current process for the corresponding random time -- interval, when processing every input element. -- module Simulation.Aivika.Server.Random (newRandomUniformServer, newRandomUniformIntServer, newRandomTriangularServer, newRandomNormalServer, newRandomLogNormalServer, newRandomExponentialServer, newRandomErlangServer, newRandomPoissonServer, newRandomBinomialServer, newRandomGammaServer, newRandomBetaServer, newRandomWeibullServer, newRandomDiscreteServer, newPreemptibleRandomUniformServer, newPreemptibleRandomUniformIntServer, newPreemptibleRandomTriangularServer, newPreemptibleRandomNormalServer, newPreemptibleRandomLogNormalServer, newPreemptibleRandomExponentialServer, newPreemptibleRandomErlangServer, newPreemptibleRandomPoissonServer, newPreemptibleRandomBinomialServer, newPreemptibleRandomGammaServer, newPreemptibleRandomBetaServer, newPreemptibleRandomWeibullServer, newPreemptibleRandomDiscreteServer) where import Simulation.Aivika.Generator import Simulation.Aivika.Simulation import Simulation.Aivika.Process import Simulation.Aivika.Process.Random import Simulation.Aivika.Server -- | 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. newRandomUniformServer :: Double -- ^ the minimum time interval -> Double -- ^ the maximum time interval -> Simulation (Server () a a) newRandomUniformServer = newPreemptibleRandomUniformServer False -- | 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 :: Int -- ^ the minimum time interval -> Int -- ^ the maximum time interval -> Simulation (Server () a a) newRandomUniformIntServer = newPreemptibleRandomUniformIntServer False -- | Create a new server that holds the process for a random time interval -- having the triangular distribution, 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. newRandomTriangularServer :: Double -- ^ the minimum time interval -> Double -- ^ the median of the time interval -> Double -- ^ the maximum time interval -> Simulation (Server () a a) newRandomTriangularServer = newPreemptibleRandomTriangularServer False -- | 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. newRandomNormalServer :: Double -- ^ the mean time interval -> Double -- ^ the time interval deviation -> Simulation (Server () a a) newRandomNormalServer = newPreemptibleRandomNormalServer False -- | Create a new server that holds the process for a random time interval -- having the lognormal distribution, 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. newRandomLogNormalServer :: Double -- ^ the mean of a normal distribution which -- this distribution is derived from -> Double -- ^ the deviation of a normal distribution which -- this distribution is derived from -> Simulation (Server () a a) newRandomLogNormalServer = newPreemptibleRandomLogNormalServer False -- | 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. newRandomExponentialServer :: Double -- ^ the mean time interval (the reciprocal of the rate) -> Simulation (Server () a a) newRandomExponentialServer = newPreemptibleRandomExponentialServer False -- | 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. newRandomErlangServer :: Double -- ^ the scale (the reciprocal of the rate) -> Int -- ^ the shape -> Simulation (Server () a a) newRandomErlangServer = newPreemptibleRandomErlangServer False -- | 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. newRandomPoissonServer :: Double -- ^ the mean time interval -> Simulation (Server () a a) newRandomPoissonServer = newPreemptibleRandomPoissonServer False -- | 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. newRandomBinomialServer :: Double -- ^ the probability -> Int -- ^ the number of trials -> Simulation (Server () a a) newRandomBinomialServer = newPreemptibleRandomBinomialServer False -- | Create a new server that holds the process for a random time interval -- having the Gamma distribution with the specified shape and scale, -- 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. newRandomGammaServer :: Double -- ^ the shape -> Double -- ^ the scale (a reciprocal of the rate) -> Simulation (Server () a a) newRandomGammaServer = newPreemptibleRandomGammaServer False -- | Create a new server that holds the process for a random time interval -- having the Beta distribution with the specified shape parameters (alpha and beta), -- 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. newRandomBetaServer :: Double -- ^ shape (alpha) -> Double -- ^ shape (beta) -> Simulation (Server () a a) newRandomBetaServer = newPreemptibleRandomBetaServer False -- | Create a new server that holds the process for a random time interval -- having the Weibull distribution with the specified shape and scale, -- 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. newRandomWeibullServer :: Double -- ^ shape -> Double -- ^ scale -> Simulation (Server () a a) newRandomWeibullServer = newPreemptibleRandomWeibullServer False -- | Create a new server that holds the process for a random time interval -- having the specified discrete distribution, 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. newRandomDiscreteServer :: DiscretePDF Double -- ^ the discrete probability density function -> Simulation (Server () a a) newRandomDiscreteServer = newPreemptibleRandomDiscreteServer False -- | Create a new server that holds the process for a random time interval -- distributed uniformly, when processing every input element. newPreemptibleRandomUniformServer :: Bool -- ^ whether the server process can be preempted -> Double -- ^ the minimum time interval -> Double -- ^ the maximum time interval -> Simulation (Server () a a) newPreemptibleRandomUniformServer preemptible min max = newPreemptibleServer preemptible $ \a -> do randomUniformProcess_ min max return a -- | Create a new server that holds the process for a random time interval -- distributed uniformly, when processing every input element. newPreemptibleRandomUniformIntServer :: Bool -- ^ whether the server process can be preempted -> Int -- ^ the minimum time interval -> Int -- ^ the maximum time interval -> Simulation (Server () a a) newPreemptibleRandomUniformIntServer preemptible min max = newPreemptibleServer preemptible $ \a -> do randomUniformIntProcess_ min max return a -- | Create a new server that holds the process for a random time interval -- having the triangular distribution, when processing every input element. newPreemptibleRandomTriangularServer :: Bool -- ^ whether the server process can be preempted -> Double -- ^ the minimum time interval -> Double -- ^ the median of the time interval -> Double -- ^ the maximum time interval -> Simulation (Server () a a) newPreemptibleRandomTriangularServer preemptible min median max = newPreemptibleServer preemptible $ \a -> do randomTriangularProcess_ min median max return a -- | Create a new server that holds the process for a random time interval -- distributed normally, when processing every input element. newPreemptibleRandomNormalServer :: Bool -- ^ whether the server process can be preempted -> Double -- ^ the mean time interval -> Double -- ^ the time interval deviation -> Simulation (Server () a a) newPreemptibleRandomNormalServer preemptible mu nu = newPreemptibleServer preemptible $ \a -> do randomNormalProcess_ mu nu return a -- | Create a new server that holds the process for a random time interval -- having the lognormal distribution, when processing every input element. newPreemptibleRandomLogNormalServer :: Bool -- ^ whether the server process can be preempted -> Double -- ^ the mean of a normal distribution which -- this distribution is derived from -> Double -- ^ the deviation of a normal distribution which -- this distribution is derived from -> Simulation (Server () a a) newPreemptibleRandomLogNormalServer preemptible mu nu = newPreemptibleServer preemptible $ \a -> do randomLogNormalProcess_ mu nu return 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. newPreemptibleRandomExponentialServer :: Bool -- ^ whether the server process can be preempted -> Double -- ^ the mean time interval (the reciprocal of the rate) -> Simulation (Server () a a) newPreemptibleRandomExponentialServer preemptible mu = newPreemptibleServer preemptible $ \a -> do randomExponentialProcess_ mu return 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. newPreemptibleRandomErlangServer :: Bool -- ^ whether the server process can be preempted -> Double -- ^ the scale (the reciprocal of the rate) -> Int -- ^ the shape -> Simulation (Server () a a) newPreemptibleRandomErlangServer preemptible beta m = newPreemptibleServer preemptible $ \a -> do randomErlangProcess_ beta m return 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. newPreemptibleRandomPoissonServer :: Bool -- ^ whether the server process can be preempted -> Double -- ^ the mean time interval -> Simulation (Server () a a) newPreemptibleRandomPoissonServer preemptible mu = newPreemptibleServer preemptible $ \a -> do randomPoissonProcess_ mu return 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. newPreemptibleRandomBinomialServer :: Bool -- ^ whether the server process can be preempted -> Double -- ^ the probability -> Int -- ^ the number of trials -> Simulation (Server () a a) newPreemptibleRandomBinomialServer preemptible prob trials = newPreemptibleServer preemptible $ \a -> do randomBinomialProcess_ prob trials return a -- | Create a new server that holds the process for a random time interval -- having the Gamma distribution with the specified shape and scale, -- when processing every input element. newPreemptibleRandomGammaServer :: Bool -- ^ whether the server process can be preempted -> Double -- ^ the shape -> Double -- ^ the scale (a reciprocal of the rate) -> Simulation (Server () a a) newPreemptibleRandomGammaServer preemptible kappa theta = newPreemptibleServer preemptible $ \a -> do randomGammaProcess_ kappa theta return a -- | Create a new server that holds the process for a random time interval -- having the Beta distribution with the specified shape parameters (alpha and beta), -- when processing every input element. newPreemptibleRandomBetaServer :: Bool -- ^ whether the server process can be preempted -> Double -- ^ shape (alpha) -> Double -- ^ shape (beta) -> Simulation (Server () a a) newPreemptibleRandomBetaServer preemptible alpha beta = newPreemptibleServer preemptible $ \a -> do randomBetaProcess_ alpha beta return a -- | Create a new server that holds the process for a random time interval -- having the Weibull distribution with the specified shape and scale, -- when processing every input element. newPreemptibleRandomWeibullServer :: Bool -- ^ whether the server process can be preempted -> Double -- ^ shape -> Double -- ^ scale -> Simulation (Server () a a) newPreemptibleRandomWeibullServer preemptible alpha beta = newPreemptibleServer preemptible $ \a -> do randomWeibullProcess_ alpha beta return a -- | Create a new server that holds the process for a random time interval -- having the specified discrete distribution, when processing every input element. newPreemptibleRandomDiscreteServer :: Bool -- ^ whether the server process can be preempted -> DiscretePDF Double -- ^ the discrete probability density function -> Simulation (Server () a a) newPreemptibleRandomDiscreteServer preemptible dpdf = newPreemptibleServer preemptible $ \a -> do randomDiscreteProcess_ dpdf return a