Scheduling algorithms for automatic control systems for technological processes

Тип публикации: статья из журнала

Год издания: 2017

Идентификатор DOI: 10.1088/1742-6596/803/1/012028

Ключевые слова: Automation, Big data, Competition, Control systems, Data handling, Quality control, Scheduling algorithms, Automatic process control system, Computing resource, Fast calculations, High performance systems, Multi-machines, Scheduling techniques, Task-scheduling, Technological process, Process control

Аннотация: 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. © Published under licence by IOP Publishing Ltd.

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Издание

Журнал: International Conference on Information Technologies in Business and Industry 2016 (21 September 2016 through 23 September 2016

Выпуск журнала: Vol. 803, Is. 1

ISSN журнала: 17426588

Авторы

  • Chernigovskiy A.S. (Siberian Federal University, 79, Svobodny ave., Krasnoyarsk, Russian Federation)
  • Tsarev R.Yu. (Siberian Federal University, 79, Svobodny ave., Krasnoyarsk, Russian Federation)
  • Kapulin D.V. (Siberian Federal University, 79, Svobodny ave., Krasnoyarsk, Russian Federation)

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