Article information

2025 , Volume 30, ¹ 2, p.87-99

Bychkov I.V., Feoktistov A.G., Voskoboinikov M.L., Edelev Y.A.

Development of service-oriented access to a high-performance computing environment based on the WPS standard

Geographic information systems may be applied for integration of spatio-temporal data within environmental monitoring of natural territories by both scientific communities and the organizations responsible for environmental management. Users of such systems can download the necessary data from these systems and process them using local computational resources. However, the large volume and the data heterogeneity of data make their processing complicated. This problem is solved by using WPS services, which are interfaces for data processing. Unfortunately, there are no high-level tools available today that significantly simplify the development and deployment of WPS services for a wide range of applications for environmental modelling and forecasting. In addition, the process of data processing often requires the use of high-performance computing systems. Organizing access to such systems using WPS services is a difficult task because WPS servers do not have the means to prepare and execute parallel and distributed computing. In this paper, we present a new approach to automate the support of high-performance processing of spatio-temporal data in a heterogeneous distributed computing environment.

[link to elibrary.ru]

Keywords: environmental monitoring, scientific applications, workflows, WPS services, distributed environment, high-performance computing

doi: 10.25743/ICT.2025.30.2.007

Author(s):
Bychkov Igor Vyacheslavovich
Dr. , Academician RAS, Professor
Position: Director
Office: Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences
Address: 664033, Russia, Irkutsk, Lermontova st., 134
Phone Office: (3952) 45-30-61
E-mail: idstu@icc.ru
SPIN-code: 5816-7451

Feoktistov Alexander Gennadievich
Dr. , Associate Professor
Position: Leading research officer
Office: Institution of the Russian Academy of Sciences Institute for System Dynamics and Control Theory of SB RAS
Address: 664033, Russia, Irkutsk, Lermontova st., 134
Phone Office: (3952) 45-31-54
E-mail: agf@icc.ru
SPIN-code: 5743-1777

Voskoboinikov Mikhail Leontevich
Position: Junior Research Scientist
Office: Institute for System Dynamics and Control Theory Siberian Branch of RAS, Irkutsk Scientific Center of Siberian Branch of Russian Academy of Sciences
Address: 664033, Russia, Irkutsk, Lermontova st., 134
Phone Office: (3952) 45-30-17
E-mail: mikev1988@mail.ru
SPIN-code: 3417-0258

Edelev Yaroslav Alekseevich
Position: engineer
Office: Institute for System Dynamics and Control Theory Siberian Branch of RAS, Irkutsk Scientific Center of Siberian Branch of Russian Academy of Sciences
Address: 664033, Russia, Irkutsk, Lermontova st., 134
Phone Office: (3952) 45-30-17
E-mail: yarvaleev07@bk.ru

References:
1. Bychkov I.V., Ruzhnikov G.M., Hmelnov A.E., Fedorov R.K., Madzhara T.I., Popova A.K. Digital monitoring of lake Baikal and its coastal area. Proceedings of the 2nd Workshop on
Information Technologies: Algorithms, Models, Systems (ITAMS 2019). Irkutsk; 2019: (2463):13–23.

2. Breunig M., Bradley P.E., Jahn M., Kuper P., Mazroob N., R¨osch N., Al Doori M.,
Stefanakis E., Jadidi M. Geospatial data management research: progress and future directions.
ISPRS International Journal of Geo-Information. 2020; 9(2):95. DOI:10.3390/ijgi9020095.

3. Hempelmann N., Ehbrecht C., Plesiat E., Hobona G., Simoes J., Huard D., Smith T.J.,
McKnight U.S., Pechlivanidis I.G., Alvarez-Castro C. Deployment of AI-enhanced services in
climate resilience information systems. The International Archives of the Photogrammetry, Remote
Sensing and Spatial Information Sciences. 2022; (48):187–194. DOI:10.5194/isprs-archives-XLVIII-4
W1-2022-187-2022.


4. Open Geospatial Consortium. OGC WPS 2.0 Interface Standard. Available at: https://repository.
oceanbestpractices.org/handle/11329/1140 (accessed January 21, 2025).

5. Giuliani G., Nativi S., Lehmann A., Ray N. WPS mediation: an approach to process geospatial
data on different computing backends. Computers & Geosciences. 2012; (47):20–33. DOI:10.1016/
j.cageo.2011.10.009.

6. Mazzetti P., Roncella R., Mihon D., Bacu V., Lacroix P., Guigoz Y., Ray N., Giuliani G.,
Gorgan D., Nativi S. Integration of data and computing infrastructures for earth science: an image
mosaicking use-case. Earth Science Informatics. 2016; (9):325–342. DOI:10.1007/s12145-016-0255-5.

7. Li Z. Geospatial big data handling with high performance computing: current approaches and future
directions. Geotechnologies and the Environment. 2020; (23):53–76. DOI:10.1007/978-3-030-47998
5_4.

8. Slocum Z., Tang W. Integration of web GIS with high-performance computing: a container based
cloud computing approach. Geotechnologies and the Environment. 2020; (23):135–157. DOI:10.1007/
978-3-030-47998-5_8.

9. Bigagli L., Santoro M., Mazzetti P., Nativi S. Architecture of a process broker for interoperable
geospatial modeling on the web. ISPRS International Journal of Geo-Information. 2015; 4(2):647–660.
DOI:10.3390/ijgi4020647.

10. Bychkov I.V., Feoktistov A.G., Gorsky S.A., Kostromin R.O., Fedorov R.K. Automating
the integration of services for the web processing of environmental monitoring data with distributed
scientific application. Optoelectronics, Instrumentation and Data Processing. 2022; 58(4):373–380.
DOI:10.3103/S8756699022040045.

11. Feoktistov A., Edelev A., Tchernykh A., Gorsky S., Basharina O., Fereferov E. An
approach to implementing high-performance computing for problem solving in workflow based energy
infrastructure resilience studies. Computation. 2023; 11(12):243. DOI:10.3390/computation11120243.

12. Danilov G., Voskoboinikov M. Testbed-based approach to testing a library for evaluating network
reliability algorithms. Proceedings of the International Workshop on Critical Infrastructures in the
Digital Worl (IWCI-2024). Bolshoe Goloustno; 2024: 3–4.

13. DaSilva R.F., Filgueira R., Pietri I., Jiang M., Sakellariou R., Deelman E.Acharacterization
of workflow managementsystems for extreme-scale applications. Future Generation Computer Systems.
2017; (75):228–238. DOI:10.1016/j.future.2017.02.026.

14. Hossain M.M., Roy B., Roy C., Schneider K. Extensibility challenges of scientific workflow
management systems. Lecture Notes in Computer Science. 2023; (14016):51–70. DOI:10.1007/978-3
031-35129-7_4.

15. Gorsky S., Kostromin R., Feoktistov A., Bychkov I.OrlandoTools: supporting high performan
ce computing in distributed environments. Proceedings of the 6th International Conference on Infor
mation Technology and Nanotechnology (ITNT 2020). Samara; 2020: 1–6. DOI:10.1109/ITNT49337.
2020.9253290.

16. Tyugu E.Kh. Konceptual’noe programmirovanie [Conceptual programming]. Moscow: Nauka; 1984:
256. (In Russ.)

17. Margolis B. SOA for the business developer: concepts, BPEL, and SCA. MC Press, LLC; 2007: 309.

18. Iwanaga T., Usher W., Herman J. Toward SALib 2.0: advancing the accessibility and interpre
tability of global sensitivity analyses. Socio-Environmental Systems Modelling. 2022; (4):18155.
DOI:10.18174/sesmo.18155.

19. Edelev A.V., Senderov S.M., Sidorov I.A. The application of distributed computations for
identification of critical facilities in the gas transport network of Russia. Information and Mathematical
Technologies in Science and Management. 2016; (1):55–62. (In Russ.)

20. Edelev A.V., Karamov D.N., Basharina O.Yu.Vulnerability analysis of autonomous microgrids.
Information and Mathematical Technologies in Science and Management. 2024; 1(33):112–121.
DOI:10.25729/ESI.2024.33.1.010. (In Russ.

Bibliography link:
Bychkov I.V., Feoktistov A.G., Voskoboinikov M.L., Edelev Y.A. Development of service-oriented access to a high-performance computing environment based on the WPS standard // Computational technologies. 2025. V. 30. ¹ 2. P. 87-99
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