Work

Enhancing Earth Observation Data Processing through Optimized Multi-Modular Service

Year: 2023

Type: conference-paper

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.

Source: Computer Science and Information Technologies (CSIT)

DOI: 10.51408/csit2023_19

Authors: Arthur Lalayan, Hrachya Astsatryan, Gregory Giuliani

Institutions: National Polytechnic University of Armenia, Institute for Informatics and Automation Problems, University of Geneva

Language: English

Topic: Cloud Computing and Resource Management

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: bronze

Funders: Belarusian Republican Foundation for Fundamental Research, Université de Genève