Estimating runtime, cost for Weather Research and Forecast tasks on AWS

Cloud scheduling is an NP-hard problem. In this paper, we propose an end-to-end system that executes a WRF (Weather Research and Forecast) task by providing recommendations of resource configurations. The optimal executions scenarios containing 3 options: fastest, cheapest and a trade-off is generated by estimating the runtime using a data-driven ensemble regression method.

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Publication Details

Published
2025-04-04
DOI
https://doi.org/10.63438/yzfu3809
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
0.00
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article

Estimating runtime, cost for Weather Research and Forecast tasks on AWS

Deepika Udupa, Gregoris Malekos, Kostas Flokos
Meteorological Phenomena and Simulations
article

Estimating runtime, cost for Weather Research and Forecast tasks on AWS

Deepika Udupa, Gregoris Malekos, Kostas Flokos
article en

Abstract

Cloud scheduling is an NP-hard problem. In this paper, we propose an end-to-end system that executes a WRF (Weather Research and Forecast) task by providing recommendations of resource configurations. The optimal executions scenarios containing 3 options: fastest, cheapest and a trade-off is generated by estimating the runtime using a data-driven ensemble regression method.

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Meteorological Phenomena and Simulations
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Estimating runtime, cost for Weather Research and Forecast tasks on AWS — Deepika Udupa, Gregoris Malekos, et al. · (2025) | TGRS Research Map | TGRS