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Preprints of the Keldysh Institute of Applied Mathematics, 2023, 043, 37 pp.
DOI: https://doi.org/10.20948/prepr-2023-43
(Mi ipmp3171)
 

This article is cited in 1 scientific paper (total in 1 paper)

Task scheduling in the onboard computer system

A. V. Ageev, A. A. Boguslavsky, S. M. Sokolov
References:
Abstract: The problem of rational resource allocation in the on-board computing system of a robotic complex is considered. As a first step, the possibility of using online scheduling algorithms without preemptive for distributed systems, the Round Robin cyclic algorithm, is analyzed. To demonstrate the basic capabilities of the developed scheduler, a video stream segmentation task is used. The peculiarities of task processing for real-time vision systems are demonstrated. The problem of inter-node synchronization of sensor data is solved. A feature of on-board robotics resources, such as the need for a linking software in the form of Robot Operation System, is taken into account. To develop the task scheduler, the C++ programming language and the ROS2 framework, which provides asynchronous networking, are used. A scheduling model and software implementing this model are being built to perform tasks in a distributed environment in order to control the processing of video streams in a vision system.
Keywords: real-time scheduling, synchronization, Robot Operating System, ROS2, computer vision, middleware systems.
Document Type: Preprint
Language: Russian
Citation: A. V. Ageev, A. A. Boguslavsky, S. M. Sokolov, “Task scheduling in the onboard computer system”, Keldysh Institute preprints, 2023, 043, 37 pp.
Citation in format AMSBIB
\Bibitem{AgeBogSok23}
\by A.~V.~Ageev, A.~A.~Boguslavsky, S.~M.~Sokolov
\paper Task scheduling in the onboard computer system
\jour Keldysh Institute preprints
\yr 2023
\papernumber 043
\totalpages 37
\mathnet{http://mi.mathnet.ru/ipmp3171}
\crossref{https://doi.org/10.20948/prepr-2023-43}
Linking options:
  • https://www.mathnet.ru/eng/ipmp3171
  • https://www.mathnet.ru/eng/ipmp/y2023/p43
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Препринты Института прикладной математики им. М. В. Келдыша РАН
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    Abstract page:75
    Full-text PDF :27
    References:20
     
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