Randomness of Poisson Distributed Random Number in the Queue System

Data Science: Journal of Computing and Applied Informatics

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Title Randomness of Poisson Distributed Random Number in the Queue System
Creator Ernestasia
Nababan, Esther
Manurung, Asima
Subject Pseudorandom, randomness, statistical error, queuing system, performance
Description In the queuing system, inter arrival variable and service time variable are probabilistic and its pattern follow a Poisson distribution. Simulations experiment for performance measurement of a queuing system required random data. In practice, random data is built using an application program. Pseudorandom data generated from application programs often have different patterns of randomness, although in each experiment simulated the same data distribution. Level of randomness may cause the results of simulation experiments experienced statistically significant deviations, especially on problems with stochastic variables. Statistical deviation can cause errors in interpreting the results of simulation experiments, especially in the assessment of the performance of the queuing system. It is required to evaluate whether the level of randomness of pseudorandom data effect on simulation results of performance measurement of a system. Simulation experiments on a simple queuing system (M / M / 1) was carried out by using a pseudorandom number generator. Application program used to generate pseudorandom numbers is Fortran90. The experimental results show that the greater the amount of pseudorandom data, the greater the statistical deviations occur, and the smaller the degree of randomness of data. This affects the results of the simulation system in which there is a probabilistic variable that require random data to conduct simulation
Publisher Talenta Publisher
Date 2019-07-31
Type info:eu-repo/semantics/article
Peer-reviewed Article
Format application/pdf
Identifier https://talenta.usu.ac.id/JoCAI/article/view/1128
Source Data Science: Journal of Computing and Applied Informatics; Vol 3 No 2 (2019): Data Science: Journal of Computing and Applied Informatics (JoCAI); 104-119
Language eng
Relation https://talenta.usu.ac.id/JoCAI/article/view/1128/656
Rights Copyright (c) 2019 Data Science: Journal of Computing and Applied Informatics (JoCAI)

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