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Trudy SPIIRAN, 2016, Issue 46, Pages 49–64
DOI: https://doi.org/10.15622/sp.46.5
(Mi trspy878)
 

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

Methods of Information Processing and Management

A Model of Estimating Quickness of Functioning of Onboard Control Systems of Spacecraft Remote Sensing of the Earth

A. D. Khomonenkoa, D. Yu. Starobinetsb, V. A. Lokvitskiib

a Petersburg State Transport University
b Mozhaisky Military Space Academy
Full-text PDF (999 kB) Citations (1)
Abstract: To assess the efficiency of functioning of the onboard control complex of spacecraft Earth remote sensing, it is proposed to use models of open queuing networks. For queuing networks, nodes are given by multi-channel non-Markov queuing systems. The proposed model allows one to take into account the costs for compressing and broadcasting the graphics in the calculation of the distribution of the residence time of the application in a network model.
Keywords: compression of graphic images; queuing network; on-board control systems; efficiency of functioning of onboard control complexes.
Bibliographic databases:
Document Type: Article
UDC: 004.912+002.513.5
Language: Russian
Citation: A. D. Khomonenko, D. Yu. Starobinets, V. A. Lokvitskii, “A Model of Estimating Quickness of Functioning of Onboard Control Systems of Spacecraft Remote Sensing of the Earth”, Tr. SPIIRAN, 46 (2016), 49–64
Citation in format AMSBIB
\Bibitem{KhoStaLok16}
\by A.~D.~Khomonenko, D.~Yu.~Starobinets, V.~A.~Lokvitskii
\paper A Model of Estimating Quickness of Functioning of Onboard Control Systems of Spacecraft Remote Sensing of the Earth
\jour Tr. SPIIRAN
\yr 2016
\vol 46
\pages 49--64
\mathnet{http://mi.mathnet.ru/trspy878}
\crossref{https://doi.org/10.15622/sp.46.5}
\elib{https://elibrary.ru/item.asp?id=26498838}
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  • https://www.mathnet.ru/eng/trspy878
  • https://www.mathnet.ru/eng/trspy/v46/p49
  • 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
    Informatics and Automation
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    Abstract page:109
    Full-text PDF :73
     
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