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Abstract
Sailboat weather routing is a highly complex problem in terms of both the computational time and memory. The reason for this is a large search resulting in a multitude of possible routes and a variety of user preferences. Analysing all possible routes is only feasible for small sailing regions, low-resolution maps, or sailboat movements on a grid. Therefore, various heuristic approaches are often applied, which can find solutions within an acceptable time, sacrificing their optimality and accuracy. In this study, we propose a different approach based on the parallel implementation of an exact algorithm. Specifically, we present a Sailing Assistance Application (SAA) utilizing a deterministic approach and show how it can be parallelized in a cloud environment to reduce its execution time. The potential of the proposed parallelization method goes beyond the particular presented solution; it can be used to improve the performance of other weather routing tools such as collision avoidance and related applications.
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- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/access.2023.3303282
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- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
IEEE Access
no. 11,
pages 83896 - 83904,
ISSN: 2169-3536 - Language:
- English
- Publication year:
- 2023
- Bibliographic description:
- Życzkowski M., Szłapczyński R., Orzechowski P., Krawczyk H.: Parallel implementation of a Sailing Assistance Application in a Cloud Environment// IEEE Access -, (2023), s.1-1
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/access.2023.3303282
- Sources of funding:
-
- Finansowane z CI Task
- Verified by:
- Gdańsk University of Technology
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