Standard

Virtual testbed as a case for big data. / Degtyarev, A. B.; Bogdanov, A. V.; Korkhov, V. V.; Gankevich, I. G.; Pylnev, Yu V.; Eibozhenko, A. V.

Selected Papers of the 8th International Conference ""Distributed Computing and Grid-Technologies in Science and Education"", GRID 2018. 2018. p. 58-64 (CEUR Workshop Proceedings; Vol. 2267).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Harvard

Degtyarev, AB, Bogdanov, AV, Korkhov, VV, Gankevich, IG, Pylnev, YV & Eibozhenko, AV 2018, Virtual testbed as a case for big data. in Selected Papers of the 8th International Conference ""Distributed Computing and Grid-Technologies in Science and Education"", GRID 2018. CEUR Workshop Proceedings, vol. 2267, pp. 58-64, 8th International Conference "Distributed Computing and Grid-Technologies in Science and Education", GRID 2018, Dubna, Russian Federation, 10/09/18. <http://ceur-ws.org/Vol-2267/58-64-paper-9.pdf>

APA

Degtyarev, A. B., Bogdanov, A. V., Korkhov, V. V., Gankevich, I. G., Pylnev, Y. V., & Eibozhenko, A. V. (2018). Virtual testbed as a case for big data. In Selected Papers of the 8th International Conference ""Distributed Computing and Grid-Technologies in Science and Education"", GRID 2018 (pp. 58-64). (CEUR Workshop Proceedings; Vol. 2267). http://ceur-ws.org/Vol-2267/58-64-paper-9.pdf

Vancouver

Degtyarev AB, Bogdanov AV, Korkhov VV, Gankevich IG, Pylnev YV, Eibozhenko AV. Virtual testbed as a case for big data. In Selected Papers of the 8th International Conference ""Distributed Computing and Grid-Technologies in Science and Education"", GRID 2018. 2018. p. 58-64. (CEUR Workshop Proceedings).

Author

Degtyarev, A. B. ; Bogdanov, A. V. ; Korkhov, V. V. ; Gankevich, I. G. ; Pylnev, Yu V. ; Eibozhenko, A. V. / Virtual testbed as a case for big data. Selected Papers of the 8th International Conference ""Distributed Computing and Grid-Technologies in Science and Education"", GRID 2018. 2018. pp. 58-64 (CEUR Workshop Proceedings).

BibTeX

@inproceedings{7821627a4792428c98e7ba6506f087c6,
title = "Virtual testbed as a case for big data",
abstract = "Complex modeling of the behavior of marine objects under the influence of real external excitation is the most important problem At present, the accuracy of direct simulation of phenomena with knovvn physics is comparable to the accuracy of the results obtained during the model experiment in towing tanks. Particularly relevant is the creation of such marine virtual testbed for full-featured simulators and when testing the knowledge base of onboard intelligent systems. Such integrated environment is a complex information object that combines the features of both the enterprise system and the high-performance modeling tool. Integrated environment based on these basic principles is designed to solve in real time the following problems: 1. Collection and analysis of information on the current state of dynamic object (DO) and the environment, remote monitoring of the state of objects. 2. Evaluation and coordination of joint actions of DOs, proceeding from current conditions, with the aim of optimally common problem solving. 3. Centralized support for decision-making by operators of DO control in non-standard situations, organization of information support for the interaction of decisionmakers in the conduct of ongoing operations. 4. Computer modeling of possible scenarios of situation development with the aim of selecting the optimal control strategy. 5. Centralized control of technical means. 6. Cataloging and accumulation of information in dynamic databases. Modern architecture of computer systems (especially GP GPU) allows direct full-featured simulation of a marine object in real time. Efficient mapping to a hybrid architecture allows even the ability to render ahead of time under various scenarios. The report discusses general concept of high-performance virtual testbed development and the experience of creating on their basis full-featured simulators.",
keywords = "Big Data, Complex system, Naval hydrodynamics, Virtual testbed",
author = "Degtyarev, {A. B.} and Bogdanov, {A. V.} and Korkhov, {V. V.} and Gankevich, {I. G.} and Pylnev, {Yu V.} and Eibozhenko, {A. V.}",
note = "Funding Information: The work was supported by St.Petersburg State University (project id 26520170) and partly by Russian Foundation for Basic Research (RFBR), grants #17-29-04288, #16-07-00886. Publisher Copyright: {\textcopyright} 2018 AlexandrB. Degtyarev, Alexander V. Bogdanov, Vladimir V. Korkhov, Ivan G. Gankevich, Yury V. Pylnev, Anatoly V. Eibozhenko. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; 8th International Conference {"}Distributed Computing and Grid-Technologies in Science and Education{"}, GRID 2018 ; Conference date: 10-09-2018 Through 14-09-2018",
year = "2018",
language = "English",
series = "CEUR Workshop Proceedings",
publisher = "RWTH Aahen University",
pages = "58--64",
booktitle = "Selected Papers of the 8th International Conference {"}{"}Distributed Computing and Grid-Technologies in Science and Education{"}{"}, GRID 2018",

}

RIS

TY - GEN

T1 - Virtual testbed as a case for big data

AU - Degtyarev, A. B.

AU - Bogdanov, A. V.

AU - Korkhov, V. V.

AU - Gankevich, I. G.

AU - Pylnev, Yu V.

AU - Eibozhenko, A. V.

N1 - Funding Information: The work was supported by St.Petersburg State University (project id 26520170) and partly by Russian Foundation for Basic Research (RFBR), grants #17-29-04288, #16-07-00886. Publisher Copyright: © 2018 AlexandrB. Degtyarev, Alexander V. Bogdanov, Vladimir V. Korkhov, Ivan G. Gankevich, Yury V. Pylnev, Anatoly V. Eibozhenko. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.

PY - 2018

Y1 - 2018

N2 - Complex modeling of the behavior of marine objects under the influence of real external excitation is the most important problem At present, the accuracy of direct simulation of phenomena with knovvn physics is comparable to the accuracy of the results obtained during the model experiment in towing tanks. Particularly relevant is the creation of such marine virtual testbed for full-featured simulators and when testing the knowledge base of onboard intelligent systems. Such integrated environment is a complex information object that combines the features of both the enterprise system and the high-performance modeling tool. Integrated environment based on these basic principles is designed to solve in real time the following problems: 1. Collection and analysis of information on the current state of dynamic object (DO) and the environment, remote monitoring of the state of objects. 2. Evaluation and coordination of joint actions of DOs, proceeding from current conditions, with the aim of optimally common problem solving. 3. Centralized support for decision-making by operators of DO control in non-standard situations, organization of information support for the interaction of decisionmakers in the conduct of ongoing operations. 4. Computer modeling of possible scenarios of situation development with the aim of selecting the optimal control strategy. 5. Centralized control of technical means. 6. Cataloging and accumulation of information in dynamic databases. Modern architecture of computer systems (especially GP GPU) allows direct full-featured simulation of a marine object in real time. Efficient mapping to a hybrid architecture allows even the ability to render ahead of time under various scenarios. The report discusses general concept of high-performance virtual testbed development and the experience of creating on their basis full-featured simulators.

AB - Complex modeling of the behavior of marine objects under the influence of real external excitation is the most important problem At present, the accuracy of direct simulation of phenomena with knovvn physics is comparable to the accuracy of the results obtained during the model experiment in towing tanks. Particularly relevant is the creation of such marine virtual testbed for full-featured simulators and when testing the knowledge base of onboard intelligent systems. Such integrated environment is a complex information object that combines the features of both the enterprise system and the high-performance modeling tool. Integrated environment based on these basic principles is designed to solve in real time the following problems: 1. Collection and analysis of information on the current state of dynamic object (DO) and the environment, remote monitoring of the state of objects. 2. Evaluation and coordination of joint actions of DOs, proceeding from current conditions, with the aim of optimally common problem solving. 3. Centralized support for decision-making by operators of DO control in non-standard situations, organization of information support for the interaction of decisionmakers in the conduct of ongoing operations. 4. Computer modeling of possible scenarios of situation development with the aim of selecting the optimal control strategy. 5. Centralized control of technical means. 6. Cataloging and accumulation of information in dynamic databases. Modern architecture of computer systems (especially GP GPU) allows direct full-featured simulation of a marine object in real time. Efficient mapping to a hybrid architecture allows even the ability to render ahead of time under various scenarios. The report discusses general concept of high-performance virtual testbed development and the experience of creating on their basis full-featured simulators.

KW - Big Data

KW - Complex system

KW - Naval hydrodynamics

KW - Virtual testbed

UR - http://www.scopus.com/inward/record.url?scp=85060084592&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85060084592

T3 - CEUR Workshop Proceedings

SP - 58

EP - 64

BT - Selected Papers of the 8th International Conference ""Distributed Computing and Grid-Technologies in Science and Education"", GRID 2018

T2 - 8th International Conference "Distributed Computing and Grid-Technologies in Science and Education", GRID 2018

Y2 - 10 September 2018 through 14 September 2018

ER -

ID: 36503832