Integration of Web Processing Services with Workflow-Based Scientific Applications for Solving Environmental Monitoring Problems
Nowadays, developing and applying advanced digital technologies for monitoring protected natural territories are critical problems. Collecting, digitalizing, storing, and analyzing spatiotemporal data on various aspects of the life cycle of such territories play a significant role in monitoring. Oft...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/11/1/8 |
| _version_ | 1827665207411867648 |
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| author | Alexander Feoktistov Sergey Gorsky Roman Kostromin Roman Fedorov Igor Bychkov |
| author_facet | Alexander Feoktistov Sergey Gorsky Roman Kostromin Roman Fedorov Igor Bychkov |
| author_sort | Alexander Feoktistov |
| collection | DOAJ |
| description | Nowadays, developing and applying advanced digital technologies for monitoring protected natural territories are critical problems. Collecting, digitalizing, storing, and analyzing spatiotemporal data on various aspects of the life cycle of such territories play a significant role in monitoring. Often, data processing requires the utilization of high-performance computing. To this end, the paper addresses a new approach to automation of implementing resource-intensive computational operations of web processing services in a heterogeneous distributed computing environment. To implement such an operation, we develop a workflow-based scientific application executed under the control of a multi-agent system. Agents represent heterogeneous resources of the environment and distribute the computational load among themselves. Software development is realized in the Orlando Tools framework, which we apply to creating and operating problem-oriented applications. The advantages of the proposed approach are in integrating geographic information services and high-performance computing tools, as well as in increasing computation speedup, balancing computational load, and improving the efficiency of resource use in the heterogeneous distributed computing environment. These advantages are shown in analyzing multidimensional time series. |
| first_indexed | 2024-03-10T01:21:11Z |
| format | Article |
| id | doaj.art-a93ee2332e0f4b73b76e69fa7bd9c494 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T01:21:11Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-a93ee2332e0f4b73b76e69fa7bd9c4942023-11-23T13:59:36ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-12-01111810.3390/ijgi11010008Integration of Web Processing Services with Workflow-Based Scientific Applications for Solving Environmental Monitoring ProblemsAlexander Feoktistov0Sergey Gorsky1Roman Kostromin2Roman Fedorov3Igor Bychkov4Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of the Russian Academy of Sciences, Irkutsk 640033, RussiaMatrosov Institute for System Dynamics and Control Theory of Siberian Branch of the Russian Academy of Sciences, Irkutsk 640033, RussiaMatrosov Institute for System Dynamics and Control Theory of Siberian Branch of the Russian Academy of Sciences, Irkutsk 640033, RussiaMatrosov Institute for System Dynamics and Control Theory of Siberian Branch of the Russian Academy of Sciences, Irkutsk 640033, RussiaMatrosov Institute for System Dynamics and Control Theory of Siberian Branch of the Russian Academy of Sciences, Irkutsk 640033, RussiaNowadays, developing and applying advanced digital technologies for monitoring protected natural territories are critical problems. Collecting, digitalizing, storing, and analyzing spatiotemporal data on various aspects of the life cycle of such territories play a significant role in monitoring. Often, data processing requires the utilization of high-performance computing. To this end, the paper addresses a new approach to automation of implementing resource-intensive computational operations of web processing services in a heterogeneous distributed computing environment. To implement such an operation, we develop a workflow-based scientific application executed under the control of a multi-agent system. Agents represent heterogeneous resources of the environment and distribute the computational load among themselves. Software development is realized in the Orlando Tools framework, which we apply to creating and operating problem-oriented applications. The advantages of the proposed approach are in integrating geographic information services and high-performance computing tools, as well as in increasing computation speedup, balancing computational load, and improving the efficiency of resource use in the heterogeneous distributed computing environment. These advantages are shown in analyzing multidimensional time series.https://www.mdpi.com/2220-9964/11/1/8web processing servicesworkflow-based scientific applicationshigh-performance computingagentstime seriesanalysis and prediction |
| spellingShingle | Alexander Feoktistov Sergey Gorsky Roman Kostromin Roman Fedorov Igor Bychkov Integration of Web Processing Services with Workflow-Based Scientific Applications for Solving Environmental Monitoring Problems ISPRS International Journal of Geo-Information web processing services workflow-based scientific applications high-performance computing agents time series analysis and prediction |
| title | Integration of Web Processing Services with Workflow-Based Scientific Applications for Solving Environmental Monitoring Problems |
| title_full | Integration of Web Processing Services with Workflow-Based Scientific Applications for Solving Environmental Monitoring Problems |
| title_fullStr | Integration of Web Processing Services with Workflow-Based Scientific Applications for Solving Environmental Monitoring Problems |
| title_full_unstemmed | Integration of Web Processing Services with Workflow-Based Scientific Applications for Solving Environmental Monitoring Problems |
| title_short | Integration of Web Processing Services with Workflow-Based Scientific Applications for Solving Environmental Monitoring Problems |
| title_sort | integration of web processing services with workflow based scientific applications for solving environmental monitoring problems |
| topic | web processing services workflow-based scientific applications high-performance computing agents time series analysis and prediction |
| url | https://www.mdpi.com/2220-9964/11/1/8 |
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