2019 IEEE 5th World Forum on Internet of Things (WF-IoT) 2019
DOI: 10.1109/wf-iot.2019.8767199
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Internet of Things orchestration using DagOn* workflow engine

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Cited by 8 publications
(2 citation statements)
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“…To characterize the meteo-marine scenario during the December 2020 storm event, an high-spatial-resolution model chain (Sánchez-Gallegos et al, 2021;Di Luccio et al, 2020b;Sánchez-Gallegos et al, 2019b, a) was configured using the workflow orchestrator DagOnStar (Montella et al, 2018) to manage and run the community numerical models Weather Research and Forecasting (WRF) (Skamarock et al, 2001;Powers et al, 2017) and Wavewatch III (WW3) (Tolman, 2009).…”
Section: Atmospheric-marine Numerical Workflowmentioning
confidence: 99%
“…To characterize the meteo-marine scenario during the December 2020 storm event, an high-spatial-resolution model chain (Sánchez-Gallegos et al, 2021;Di Luccio et al, 2020b;Sánchez-Gallegos et al, 2019b, a) was configured using the workflow orchestrator DagOnStar (Montella et al, 2018) to manage and run the community numerical models Weather Research and Forecasting (WRF) (Skamarock et al, 2001;Powers et al, 2017) and Wavewatch III (WW3) (Tolman, 2009).…”
Section: Atmospheric-marine Numerical Workflowmentioning
confidence: 99%
“…In order to characterize the meteo-marine scenario during the 2020-December storm event, an high spatial resolution model chain (Sánchez-Gallegos et al, 2021;Di Luccio et al, 2020b;Sánchez-Gallegos et al, 2019b, a) was configured using the workflow orchestrator DagOnStar (Montella et al, 2018) to manage and run the community numerical models Weather Research and Forecasting (WRF) (Skamarock et al, 2001;Powers et al, 2017) and Wavewatch III (WW3) (? ).…”
Section: Atmospheric-marine Numerical Workflowmentioning
confidence: 99%