Modeling of data acquisition systems using the queueing theory
| Autor: | I. V. Atanov, Irina Fedorenko, Aleksandr Sukmanov, Vladimir V. Samoylenko, Vladimir V. Fedorenko, Dmitriy Shlaev |
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| Rok vydání: | 2017 |
| Předmět: |
Queueing theory
Exponential distribution Computer science Amplifier 020208 electrical & electronic engineering Real-time computing 02 engineering and technology Converters Markov model Signal 03 medical and health sciences 0302 clinical medicine Data acquisition 0202 electrical engineering electronic engineering information engineering Electronic engineering Electrical and Electronic Engineering Queue 030217 neurology & neurosurgery |
| Zdroj: | AEU - International Journal of Electronics and Communications. 74:83-87 |
| ISSN: | 1434-8411 |
| DOI: | 10.1016/j.aeue.2017.01.024 |
| Popis: | This paper describes the features of a data acquisition system modeling based on queueing theory method. The main elements of the studied data acquisition system structure are sample hold amplifiers and dual-slope analogue digital converters. In case of the threshold control of technological facilities parameters, alarm signals in the system input are presented as a flow of customers with the Poisson intensity distribution. A converting time of these alarms in analogue digital converters depends on signal levels and is described by an exponential distribution. In this case we present the data acquisition system as the Markov model of the multichannel queueing system with a limited queue. This modeling method may help the data acquisition system structure to adapt to characteristics of input signals and features of communication lines in an output of system. |
| Databáze: | OpenAIRE |
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