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  4. Preprocessing of Terrain Data in the Cloud using a Workflow Management System
 
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2022
Conference Paper
Title

Preprocessing of Terrain Data in the Cloud using a Workflow Management System

Abstract
The preparation of terrain data for web visualization is time-consuming. We model the problem as a scientific workflow that can be executed by a workflow management system (WMS) in a cloud-based environment. Such a workflow management system provides easy access to the almost unlimited resources of cloud infrastructure and still allows a lot of freedom in the implementation of tasks. We take advantage of this and optimize the computation of individual tiles in the created level of detail (LOD) structure, as well as the scheduling of tasks in the scientific workflow. This enables us to utilize allocated resources very efficiently and improve computation time. In the evaluation, we analyze the impact of different storage endpoints, the number of threads, and the number of tasks on the run time. We show that our approach scales well and outperforms our previous work based on the framework GeoTrellis considerably (Krämer et al., 2020).
Author(s)
Kaster, Marvin
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Würz, Hendrik Martin  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
DATA 2022, 11th International Conference on Data Science, Technology and Applications. Proceedings  
Conference
International Conference on Data Science, Technology and Applications 2022  
Open Access
File(s)
Download (574.11 KB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.5220/0011145000003269
10.24406/publica-306
Additional full text version
Landing Page
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Lead Topic: Smart City

  • Lead Topic: Visual Computing as a Service

  • Research Line: Modeling (MOD)

  • Cloud computing

  • Geospatial data

  • Workflow management

  • Big data

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