=Paper=
{{Paper
|id=Vol-2426/paper3
|storemode=property
|title=Methods of Computer Simulation Based on Shared Digital Platform
|pdfUrl=https://ceur-ws.org/Vol-2426/paper3.pdf
|volume=Vol-2426
|authors=Alexander A. Zatsarinnyy,Alexander P. Shabanov
}}
==Methods of Computer Simulation Based on Shared Digital Platform==
https://ceur-ws.org/Vol-2426/paper3.pdf
Methods of Computer Simulation Based on Shared Digital Platform
Alexander A. Zatsarinnyy¹, Alexander P. Shabanov¹
¹ Federal research center ‘Computer Science and Control’ Russian Academy of Sciences, Moscow, Russia,
apshabanov@mail.ru
Abstract
The model of the Shared Digital Platform is investigated, possessing the
properties of the innovative control of kinds of activity of the
organizational systems of using cognitive technologies for an integral
informationally controlling medium. Analysis of those innovative
methods of a support of activity that insure the given properties and
consider the boundary conditions of stable functioning of the
computational resources of the Shared Digital Platform is made. On the
base of analysis results, the task of definition of the application domain of
the given methods for the processes of the support of modeling of the
objects of technogenic, natural and anthropogenic environment is solved.
Practical significance of presented results consists in reduction of the time
of conducting the scientific researches and introduction of their results to
industrial environment.
Keywords: an organizational system, activity, the processes, the system of
the control, the digital platform, making of a decision, innovations,
cognitive technologies.
1 The Task Production
Informational infrastructure is defined as one of the basic directions of the development of digital economy [1, p.
12]. Within the framework of the given direction, the conceptual model of the Shared Digital Platform is built [2].
The innovative character of the control [3], revealed in a base of cognitive technologies [4], is the special property of
this model. The given property provides the methodical basis for creation an integral informational control of
medium, combining the resources of the organizational systems: over a territorial attribute; over belonging to a
branch, the department; over execution of the state programs and the business projects; over other attributes [5].
The study of the boundary conditions of stable functioning of the Shared Digital Platform computational resources,
built based on the conceptual model specified above, is carried out under support of the project #18-29-03091 of the
Russian Foundation for the Basic Research. The applicability of the known support methods to organization of
computer modeling of the objects of technogenic, natural and anthropogenic of a medium in the boundary conditions,
stated above, is considered in the article.
The examples of the objects and results of their computer modeling are given in the Table 1.
Table 1: Computer simulation methods (examples).
Method name Objects and simulation results
The objects: relation between the electrical, thermal, mechanical,
Virtual integrated modeling of the aerodynamic processes, providing simultaneous impact on
1. factors of influence between the industrial product or technological parameters.
physical processes [6]. Result: the most critical from the standpoint of overload
elements products.
Imitative modeling of the factors of The objects: the description of interference of the occasional
2.
influence between the devices [7]. process. The parameters: the speed of movement of the devices
Copyright © 2019 for the individual papers by the papers' authors. Copyright © 2019 for the volume as a collection by its
editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).
In: Sergey I. Smagin, Alexander A. Zatsarinnyy (eds.): V International Conference Information Technologies and High-
Performance Computing (ITHPC-2019), Khabarovsk, Russia, 16-19 Sep, 2019, published at http://ceur-ws.org
17
Organization of Effective Work of High-Performance Computing Systems
______________________________________________________________________________________________
Method name Objects and simulation results
on heterogeneous wireless networks; the spatial density; the
maximally permissible radius of interaction.
Result: the probabilistic indexes of interaction between the
devices: breakage of a connection; the duration of the presence
of the connection; the duration of the absence of the connection.
Modeling of the modular The objects: The models of the computational systems. A
computational systems that function in checkup of the indexes of the time of data processing.
3.
a real scale of the time (less than 300 Result: the model of a structure of the computational system,
ms) [8]. satisfying the given requirements.
The objects: the particle of the protons, being present in the
Modeling of charged particles of space galactic and solar space rays, in the streams.
4.
beams and streams of protons [9]. Result: the physical states of the particles, being present in the
galactic and solar space rays, in the streams of the protons.
The objects: the processes of dissemination of the seismic
5. Modeling of the seismic waves [10]. waves.
Result: the trajectories of seismograms as the diagrams and a
report on testing of the indexes of the program code.
The objects: the event of counteraction to the different threats
Modeling of the special purpose with economic security in strategic planning of the development
6. of high technology branches.
indexes of economic security [11].
Result: rational distribution of the budget allotments over the
articles of the plan.
The objects: The noise signals in the microchips, the factors of
The modeling of the signals is in the their influence on efficiency.
7.
systems of automated design [12]. Result: the report on the degree of correspondence to the
normalized designed indexes.
The modeling of the procedures is for An object: medium of the high technology informational,
8. the control of activity in the telecommunicative and engineering systems.
organizational systems [13]. Result: the procedures of the control that satisfy the given
requirements.
The modeling of bloodstream is in the The objects: the brachycephalic arteries, feeding the cerebrum.
9. Result: tomograms and the angiograms of the vessels of the
vessels, feeding the brain [14].
cerebrum and the indexes of their state.
It is how visible from the examples (the table 1), the complicated procedures, the structures, the elements (the
particles), technical, natural and the anthropogenic processes be the objects of modeling. The given complexity is
conditioned by the operations for treatment and for comparative analysis of large factual and retrospective data in the
conditions of the real time that are inherent in the simulated processes. For example, similar business transactions
realize themselves in the seconds [15]. Results are reached with the help of complex approach, by combination of
analytical, imitative models and the computer algorithms. The made description is inherent in many simulated
processes in the different domains of science, spheres of the control and branches of economy.
In connection with it, generalization, it is assumed that, the factor of real scale of the time with large data
processing imposes a restriction for the time of treatment. The normalized indexes of the time of data processing in
one cycle of modeling and the probability of his non-exceeding in such a case are the boundary conditions of stably
functioning of the computational resources of the Shared Digital Platform.
Review and analysis of the known innovative methods and the models that are protected with the patents for
inventions and the useful models are brought. Their appointment is for a support of activity, in participated by the
organizational systems. On the base of given analysis the domain of their application for the Shared Digital Platform
that are used in modeling of the objects, relating to the technogenic, natural and anthropogenic media, was defined.
2 The Support Methods of Kinds of Activity of the Organizational Systems
Table 2 represents the patented (innovative) methods of a support of kinds of activity (the processes) of the
organizational systems and the models of the technical solutions, built considering critical technologies of
informational infrastructure [16]:
− technologies are for data factual acquisition of essences, influencing components and states of kinds of
activity, their treatment and structuring, accumulation and systematization of retrospective data;
− technology is for creation of integral informational-controlling medium intended for a union with the
computational resources that are located in the different organizational systems, and that differ in the systems
for addressing and the program codes;
18
Organization of Effective Work of High-Performance Computing Systems
______________________________________________________________________________________________
− technologies are for analysis of normalized, factual and retrospective given;
− technologies are for the development of the scripts for the solutions of the one that considers obtained results
of activity analysis and considering the given boundary conditions of a support of activity;
− technologies are for definition of the objects for the innovations, that is conditioned by an increase of the
number of new automated processes and, as consequence, the production of projects for creation of the new
applied informational systems in the organizational systems.
Table 2: Review of the innovative methods and the models of a support of activity
Method (model) Characteristic
Result: automatic execution of estimation of activity effectiveness
Method of supporting and the automatic control of the objects of a support of the one that
1. operation of organizational considers executed estimation and the normalized boundary
system [17]. conditions of stability.
Effect: reduction of the time of making and execution of the
decisions.
Result: the automatic checkup of relevance of data on reformation of
Organizational systems these data of the considering executed checkup, chosen for
2. execution, the scripts of the control, are in case of necessity.
management system [18].
Effect: an increase of the degree of certainty of the made and
executed decision.
Result: the technical solution is over a realization of a method of a
Management Center of
3. support of activity of the organizational system [17] with a
Organizational system [19].
centralized system of the control.
System of situationally Result: the technical solution is over a realization of a method of a
4. analytical centers of support of activity of the organizational system [17] with a
organizational system [20]. distributed system of the control.
Result: formation, conservation, allocation of data on factual
Monitoring Center for stability of the informational systems.
5. sustainability information Effect: reduction of the time of the exposure of defects of technical
systems [21]. means, the mistakes of the programs, the wrong actions of the
personnel.
Result: execution with a view on a support of given boundary
conditions of stability (stability) is automation of the functions of
Stability of information analysis of data on stability of the informational systems, making on
6.
systems support center [22]. this basis of the decisions and them.
Effect: reduction of the time of elimination of defects of technical
means and the mistakes of the programs.
Result: reduction of electric power, necessary for a transfer of
Method to pass information information into the robotic objects, realizing a support of activity
7. of the organizational systems.
[23].
Effect: an increase of reticence of the fact of a transfer of the teams
of an administration.
Result: the technical decision on a realization of a method of a
8. Robotic control objects [24].
transfer of information [23].
Result: the package of information furnished about with their
transformation into information, furnished about an appointment of
Method to pass information this; also reverse the transformation on reception.
9.
[25]. Effect: the support of inter-operability of the systems of the control,
differing in the modes of identification and the systems of the
internal addressing of one's objects.
Complex of information Result: the technical decision on a realization of a method of a
10.
interaction [26]. transfer of information [25].
Result: the transfer of data on a team with their transformation into
Method of Transmission of the commands, given about a function of this, and a reverse
11. transformation on reception.
Control Commands [27].
Effect: the support of inter-operability of the systems of the control,
differing in the program codes.
Result: the technical decision on a realization of a method of a
12. Integrated control system [28].
transfer of the teams of an administration [27].
19
Organization of Effective Work of High-Performance Computing Systems
______________________________________________________________________________________________
Method (model) Characteristic
13. Device management [29]. Result: component in composition of the technical solution [28].
14. Data transmitter [30]. Result: component in composition of the technical solution [29].
15. Data receiver. [31]. Result: component in composition of the technical solution [29].
Result: automatic definition of the objects of innovations of the one
Method of Determination of that considers the boundary conditions of stability over the time of
16. the Objects of Innovation in data processing and the probability of non-exceeding of it.
Information Systems [32]. Effect: reduction of the terms of execution of the innovative projects
of automation of the new processes.
Identifier of Innovation Result: the technical decision on a realization of a method of
17. Objects in Information definition of the objects of innovations in the informational systems
Systems [33]. [32].
On the base of the analysis that is made with respect to the innovative methods and models, listed in the Table
2, the domain of their application for a medium of the processes, is defined which are used for a support of
computer modeling on the Shared Digital Platform:
− the processes of collection, treatment and configuring of data on essences, influencing state of the simulated
objects;
− the processes of creation and actualization of integral informationally-controlling of a medium of the
organizational systems independently of an identity of the systems of addressing and the program codes;
− the processes of accumulation and configuring of retrospective data are in an integral informationally -
controlling medium;
− the processes of analysis of normalized, factual and retrospective data, definition of the indexes of stability
of medium of modeling of the Shared Digital Platform;
− the processes of development are on the basis of results of analysis of the scripts of a support of stability of
the objects of medium of modeling in the given boundary conditions of stability;
− the processes of definition of the objects (technical means, the programs, the informational systems, the
informational high roads, et al) in informational infrastructure of the Shared Digital Platform, which it is
required to modernize, replace or develop in connection with an increase of the number of simulated
processes.
Practical significance of application of the represented as higher innovative methods consists in reduction of the
time of computer modeling of the objects with observance of the boundary conditions for stability of means of the
support.
3 The Boundary Conditions of Stability of the Informational High Roads
It is defined that recommendation of the given processes is a support of given boundary conditions about
stability (stability) of the objects that realize a support of modeling. Information on the presence of the universal
method for definition of such indexes as applied to both technical means and the program s, and the high roads in
informational infrastructure of the Shared Digital Platform is not detected. In the same time, in a solution of the
similar tasks is possible to be guided the known methods in definition of effectiveness of activity of the
organizational system based on standard, normalized and factual of the indexes of activity it. At it:
− the standard indexes are defined by the reached levels of engineering, technology, the administrations and
formations are in the subject domain of activity of the organizational system in the absence of the
restrictions on the cost of the project, the normalized indexes are defined by the designed solutions of a
version of the Shared Digital Platform, selected among the considered versions in the index of the deg ree of
effectiveness of activity and given cost [34];
− the factual indexes are defined with the help of an analytics-methodical apparatus and technological
information on the indexes of objects of observation - the material and immaterial objects of the
organizational systems and the external medium, having influence on results of activity [35];
− the calculation of the values of the indexes is produced provided a period of acquiring of statistical
samplings of information is common to calculation of the values of all indexes [36].
For example, object "the informational high road" it is possible to use a method of analysis of productivity of
high road, including homonymous technique and the models of a high road [37].
On drawing (Fig. 1) the example of use of technique for calculation is given the maximum number Gval. of data
packets in the queue at which indicators are met: the maximum waiting time TVal. in queue и the minimum
probability Pval measure Tval. Based on the maximum number Gval. of data packets, necessary productivity of high
road is defined .
20
Organization of Effective Work of High-Performance Computing Systems
______________________________________________________________________________________________
Figure 1: The boundary values of stability of informational high road
4 Conclusion
The article is dedicated to investigation into the questions about an application of a digital platform for modeling
of the objects, relating to the technogenic, natural and anthropogenic media. The methods, insuring an informational
support of activity, realized in the organizational systems, provide the basis of such a platform.
The innovative methods and the models, which are protected with the patents for inventions, and the useful models
are presented. The given solutions are intended for automation of the processes, realizing an informational support in
modeling of the articles and the processes. The calculation of the indexes is produced in the boundary conditions of
stably functioning of the computational resources.
Effectiveness of the Shared Digital Platform consists to the unions with the computational resources of the
organizational systems, located and consolidated in a base of the digital platform. The time led away for modeling of
the promising industrial technological articles, the social and natural processes, is reduces. Including the time of
conducting of scientific researches, introduction of their results to industrial Wednesday.
Acknowledgments
The investigation is carried out with a support of the Russian fund of fundamental researches (the project 18-29-
03091) in the Ministry of education and science of the Russian Federation (2018 are 5 No. 538).
References
1. The program "Digital Economy of the Russian Federation." Order of the Government of the Russian Federation of
July 28, 2017 No. 1632-p. Official Internet portal of legal information [Electronic resource]. 2017. - URL:
http://static.government.ru/media/files/9gFM4FHj4PsB79I5v7yLVuPgu4bvR7M0.pdf (appeal date
12/05/2019).
2. Zatsarinnyy, A.A., Shabanov, A.P.: Model of a Prospective Digital Platform to Consolidate the Resources of
Economic Activity in the Digital Economy. Proceedings of the 13th International Symposium “Intelligent
Systems 2018” (INTELS'18), vol. 150, pp. 552-557. Doi.org/10.1016/j.procs.2019.02.092. (2019)
3. Shabanov, A.P.: Innovative management of digital platforms in the knowledge economy. Control Systems,
Communications and Security, no. 3, pp. 106-135 (in Russian). (2018)
21
Organization of Effective Work of High-Performance Computing Systems
______________________________________________________________________________________________
4. Zatsarinnyy, A.A., Shabanov, A.P.: Models and methods of cognitive management of digital platform resources.
Control Systems, Communications and Security, no. 1, pp. 100-122. Doi: 1024411 / 2410-9916-2019-10106
(in Russian). (2019)
5. Zatsarinnyy, A.A., Kozlov, S.V., Shabanov, A.P.: Interoperability of organizational systems in addressing common
challenges. Management Issues, no. 6, pp. 43–49 (in Russian). (2017)
6. Kofanov, Y.N., Sotnikova, S.Y.: Virtual simulation of onboard electronic devices and systems. Instruments and
Systems: Monitoring, Control, and Diagnostics, no.5, pp. 16-22 (in Russian). (2018)
7. Gaidamaka, Y.V., Samouylov, K.E., Shorgin, S.Ya.: Method of modeling interference characteristics in
heterogeneous Fifth generation wireless networks with device-t-device communications. Informatics and
Applications, vol. 11, no. 4, pp. 2-9 (in Russian). (2017)
8. Glonina, A.B., Balashov, V.V.: On the Correctness of Real-Time Modular Computer Systems Modeling with
Stopwatch Automata Networks. Modeling and Analysis of Information Systems, vol. 25, no. 2 (74), pp. 174-
192 (in Russian). (2018)
9. Meerson, V., Venevitina, S., Bogacheva, E.: Modeling the fluxes of Charged particles of space. Modeling of
Systems and Processes, vol. 10, no. 3, pp. 32-39 (in Russian). (2017)
10. Zakirov, A.V., Levchenko, V.D., Ivanov, A.V., Perepelkina, A.Yu., Levchenko, T.V., Rok, V.E.: High-
performance 3D modeling of a full-wave seismic field for seismic survey tasks. Geoinformatika, no. 3, pp.
34-45 (in Russian). (2017)
11. Troshin, D.V.: Methodical approach to modeling of the rational scenario of ensuring economic security of Russia
in the long term. Management Issues, 2019, no. 1, pp. 45–54 (in Russian).
12. Sklyar, V., Zolnikov, V., Yankov, A., Chevychelov, Yu., Barabanov, V.: Characterization and modeling of
signals in CAD. Modeling of Systems and Processes, vol. 11, no. 1, pp. 62-67 (in Russian). (2018)
13. Nedosekin, D.A.: The decision-making procedure based on multi-stage modelling and optimization of developing
systems. Modeling, Optimization and Information Technology, vol. 6, no. 2 (21), pp. 208-219 (in Russian).
(2018)
14. Basharova, G., Begun, P.I., Tikhonenkova, O.V.: Modeling in a 3D package and biomechanical study the
condition of blood vessels feeding the brain. Modeling, Optimization and Information Technology, vol. 6,
no. 3 (22), pp. 30-39 (in Russian). (2018)
15. Suyunova, G.B., Gaivoronskaya, N.A., Polovinko, E.V.: Methods of optimizing economic and social systems
using technologies of modeling business processes. Modeling, Optimization and Information Technology,
vol. 6, no. 1, pp. 176-184 (in Russian). (2018)
16. Zatsarinnyy, A.A., Kozlov, S.V., Shabanov, A.P.: Information Support for the Activities of the Critical
Technologies in Control Systems Based on Situational Centers. Systems of Control, Communication and
Security, no. 4, pp. 98–113 (in Russian). (2015)
17. Zatsarinnyy, A.A., Suchkov, A.P., Shabanov, A.P.: Method of supporting operation of organizational system.
Patent for invention no. RU 2532723 C2, pub. 10.11.2014, bul. no. 31 (in Russian).
18. Zatsarinnyy, A.A., Shabanov, A.P.: Organizational systems management system. Patent for invention no. RU
2595335 C2, pub. 27.08.2016, bul. no. 24 (in Russian).
19. Zatsarinnyy, A.A., Kozlov, S.V., Suchkov, A.P., Shabanov A.P.: Management Center of Organizational system.
Patent for utility model no. RU 127493 U1, pub. 27.04.2013, bul. no. 12 (in Russian).
20. Zatsarinnyy, A.A., Kozlov, S.V., Suchkov, A.P., Shabanov, A.P.: System of situationally-analytical centers of
organizational system. Patent for invention no. RU 2533090 C2, pub. 20.11.2014, bul. no. 32 (in Russian).
21. Golyandin, A.N., Shabanov, A.P.: Monitoring Center for sustainability information systems. Patent for utility
model no. RU 130109 U1, pub. 10.07.2013, bul. no. 19 (in Russian).
22
Organization of Effective Work of High-Performance Computing Systems
______________________________________________________________________________________________
22. Golyandin, A.N., Shabanov, A.P.: Stability of information systems support center. Patent for utility model no. RU
132227 U1, pub. 10.09.2013, bul. no. 25 (in Russian).
23. Kozlov, S.V., Kozlov, V.S., Shabanov, A.P.: Method to pass information. Patent for invention no. RU 2560820
C2, pub. 20.08.2015, bul. no. 23 (in Russian).
24. Kozlov, S.V., Kozlov, V.S., Shabanov, A.P.: Robotic control objects. Patent for utility model no. RU 140887 U1,
pub. 20.05.2014, bul. no. 14 (in Russian).
25. Zatsarinnyy A.A., Shabanov, A.P.: Method to pass information. Patent for invention no. RU 2618366 C1, pub.
03.05.2017, bul. no. 13 (in Russian).
26. Zatsarinnyy, A.A., Shabanov, A.P.: Complex of information interaction. Patent for utility model no. RU 160257
U1, pub. 10.03.2016, bul. no. 7 (in Russian).
27. Zatsarinnyy, A.A., Shabanov, A.P.: Method of Transmission of Control Commands. Patent for invention no.
RU 2631147 C1, pub. 19.09.2017, bul. no. 26 (in Russian).
28. Zatsarinnyy, A.A., Shabanov, A.P.: Integrated control system. Patent for invention no. RU 2630393 C1, pub.
07.09.2017, bul. no. 25 (in Russian).
29. Zatsarinnyy, A.A., Shabanov, A.P.: Device management. Patent for utility model no. RU 167247 U1, pub.
27.12.2016, bul. no. 36 (in Russian).
30. Zatsarinnyy, A.A., Shabanov, A.P.: Data transmitter. Patent for utility model no. RU 165924 U1, pub.
10.11.2016, bul. no. 31 (in Russian).
31. Zatsarinnyy, A.A., Shabanov, A.P.: Data receiver. Patent for utility model no. RU 165993 U1, pub. 10.11.2016,
bul. no. 31 (in Russian).
32. Kozlov, S.V., Shabanov, A.P.: Method of Determination of the Objects of Innovation in Information Systems.
Patent for invention no. RU 2672617 С1, pub. 16.11.2018, bul. no. 32 (in Russian).
33. Kozlov, S.V., Shabanov, A.P.: Identifier of Innovation Objects in Information Systems. Patent for invention no.
RU 2693315 С1, pub. 02.07.2019, bul. no. 19 (in Russian).
34. Zatsarinnyy, A.A., Shabanov, A.P.: Systemic Aspects of Efficiency of Situational Centers. Moscow Witte
University Bulletin. Series 1: Economics and Management, vol. 5, no. 3, pp. 43–53 (in Russian). (2013)
35. Zatsarinnyy, A. A., Shabanov A. P.: Situational Centers: information – processes – organization.
Telecommunications, no. 6, pp. 42-46 (in Russian). (2011)
36. Shabanov, A.P.: Adaptive Control Axe: "Information System – Organizational Structures of Queuing". Business
Informatics, vol. 13, no. 3, pp. 19–26 (in Russian). (2010)
37. Zatsarinnyy, A.A., Shabanov, A.P.: Methodological Approach to Quality Management of Information in Complex
Infocommunication Projects. Systems and Means of Informatics, vol. 21, no. 2, pp. 2–19 (in Russian).
(2011)
23