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Authors: Marvin Kaster 1 ; 2 and Hendrik M. Würz 1 ; 2

Affiliations: 1 Fraunhofer Institute for Computer Graphics Research IGD, Fraunhoferstraße 5, Darmstadt, Germany ; 2 Technical University of Darmstadt, Karolinenplatz 5, Darmstadt, Germany

Keyword(s): Cloud Computing, Geospatial Data, Workflow Management, Computational Models for Big Data.

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).

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Paper citation in several formats:
Kaster, M. and Würz, H. (2022). Preprocessing of Terrain Data in the Cloud using a Workflow Management System. In Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-583-8; ISSN 2184-285X, SciTePress, pages 40-49. DOI: 10.5220/0011145000003269

@conference{data22,
author={Marvin Kaster. and Hendrik M. Würz.},
title={Preprocessing of Terrain Data in the Cloud using a Workflow Management System},
booktitle={Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA},
year={2022},
pages={40-49},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011145000003269},
isbn={978-989-758-583-8},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA
TI - Preprocessing of Terrain Data in the Cloud using a Workflow Management System
SN - 978-989-758-583-8
IS - 2184-285X
AU - Kaster, M.
AU - Würz, H.
PY - 2022
SP - 40
EP - 49
DO - 10.5220/0011145000003269
PB - SciTePress

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