Trudy SPIIRAN
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Informatics and Automation:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Trudy SPIIRAN, 2020, Issue 19, volume 1, Pages 155–179
DOI: https://doi.org/10.15622/10.15622/sp.2020.19.1.6
(Mi trspy1095)
 

Mathematical Modeling, Numerical Methods

Self-organizing B2B enterprise of distributed photogrammetric processing of terrain images in ETRIS

O. Karsaeva, I. Shuklinb, S. Yushchenkob

a St. Petersburg Institute for informatics and Automation of Russian Academy of Sciences (SPIIRAS)
b Federal State Unitary Enterprise "18 Central Research Institute" of the Ministry of Defense of the Russian Federation
Abstract: An approach to the dynamic formation (adjustment) of schedules for distributed photogrammetric image processing in a network of ground centers included in the United geographically distributed information system for receiving and processing Earth remote sensing data from space is considered. Having the fullest satisfaction of requirements of consumers to the satellite images of necessary areas, the approach provides the formation of self-organizing B2B enterprises in the specified network providing information, software and hardware resources of the ground-based facilities of various departmental and other accessories for photogrammetric processing of any received images of the area from the the United geographically distributed information system. It is shown, that a search in B2B enterprise nodes and borrowing the required resources will allow ground centers to flexibly scale physical and virtual means of photogrammetric processing of Earth remote sensing data, quickly form their local structural and functional organizations depending on the current properties of the consumer requests flow for receiving Earth remote sensing data in the United geographically distributed information system, characteristics of the flow of terrain survey materials from orbital monitoring tools, and also take into account the visual and measuring properties of images of the area subject to photogrammetric processing. A method for truncating the set of potential performers of the application in accordance with the existing semantic and other restrictions on the composition of the desired set of performers is proposed. Also mechanisms to encourage ground centers to provide idle resources to B2B enterprise nodes are proposed. They are based on the possibility of receiving monetary or other remuneration from a ground center for participating in distributed application servicing. The development of a well-known model of a self-organizing B2B enterprise creates conditions for a more efficient organization of servicing the flow of applications in the United geographically distributed information system by attracting unused software, information and hardware resources of ground centers of various departmental affiliations.
Keywords: earth remote sensing data, photogrammetric processing, B2B-enterprise.
Received: 26.10.2019
Document Type: Article
UDC: 004.75
Language: Russian
Citation: O. Karsaev, I. Shuklin, S. Yushchenko, “Self-organizing B2B enterprise of distributed photogrammetric processing of terrain images in ETRIS”, Tr. SPIIRAN, 19:1 (2020), 155–179
Citation in format AMSBIB
\Bibitem{KarShuYus20}
\by O.~Karsaev, I.~Shuklin, S.~Yushchenko
\paper Self-organizing B2B enterprise of distributed photogrammetric processing of terrain images in ETRIS
\jour Tr. SPIIRAN
\yr 2020
\vol 19
\issue 1
\pages 155--179
\mathnet{http://mi.mathnet.ru/trspy1095}
\crossref{https://doi.org/10.15622/10.15622/sp.2020.19.1.6}
Linking options:
  • https://www.mathnet.ru/eng/trspy1095
  • https://www.mathnet.ru/eng/trspy/v19/i1/p155
  • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Informatics and Automation
    Statistics & downloads:
    Abstract page:103
    Full-text PDF :45
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024