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Chernigovskiy, A. S.
Tsarev, R. Yu.
Kapulin, D. V.
2018-02-07T07:34:32Z
2018-02-07T07:34:32Z
2017
Chernigovskiy, A. S. Scheduling algorithms for automatic control systems for technological processes [Текст] / A. S. Chernigovskiy, R. Yu. Tsarev, D. V. Kapulin // Journal of Physics: Conference Series. — 2017. — Т. 803 (№ 1).
http://iopscience.iop.org/article/10.1088/1742-6596/803/1/012028/
https://elib.sfu-kras.ru/handle/2311/70280
Wide use of automatic process control systems and the usage of high-performance systems containing a number of computers (processors) give opportunities for creation of high-quality and fast production that increases competitiveness of an enterprise. Exact and fast calculations, control computation, and processing of the big data arrays - all of this requires the high level of productivity and, at the same time, minimum time of data handling and result receiving. In order to reach the best time, it is necessary not only to use computing resources optimally, but also to design and develop the software so that time gain will be maximal. For this purpose task (jobs or operations), scheduling techniques for the multi-machine/multiprocessor systems are applied. Some of basic task scheduling methods for the multi-machine process control systems are considered in this paper, their advantages and disadvantages come to light, and also some usage considerations, in case of the software for automatic process control systems developing, are made.
Automation
Big data
Competition
Control systems
Data handling
Quality control
Scheduling algorithms
Scheduling algorithms for automatic control systems for technological processes
Journal Article
Journal Article Preprint
50.03.03
2018-02-07T07:34:32Z
10.1088/1742-6596/803/1/012028
Институт космических и информационных технологий
Кафедра информатики
Journal of Physics
Q4


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