Proceedings chapter
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English

Enhancing Earth Observation Data Processing through Optimized Multi-Modular Service

Presented atYerevan, Armenia, September 25 - 30
Published inCSIT Conference 2023, p. 4
Publication date2023
First online date2023
Abstract

The significance of earth observation data spans diverse fields and domains, driving the need for their efficient management. Nevertheless, the exponential increase in data volume brings with it new challenges that make processing and storing data more complicated. In response to these challenges, this article proposes an optimized multi-modular service for earth observation data management. The suggested approach focuses on choosing the optimal configurations for the storage and processing layers to improve the performance and cost-effectiveness of managing data. By employing the recommended optimized strategies, earth observation data can be managed more effectively, resulting in fast data processing and reduced costs.

Keywords
  • Earth observation
  • Distributed computing
  • Performance optimization
Citation (ISO format)
LALAYAN, Arthur, ASTSATRYAN, Hrachya, GIULIANI, Gregory, (eds.). Enhancing Earth Observation Data Processing through Optimized Multi-Modular Service. In: CSIT Conference 2023. Yerevan, Armenia. [s.l.] : [s.n.], 2023. p. 4. doi: 10.51408/csit2023_19
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