Dynamic computing resource allocation in online flood monitoring and prediction

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F16%3A86098615" target="_blank" >RIV/61989100:27740/16:86098615 - isvavai.cz</a>

Výsledek na webu

<a href="http://iopscience.iop.org/article/10.1088/1755-1315/39/1/012061/meta" target="_blank" >http://iopscience.iop.org/article/10.1088/1755-1315/39/1/012061/meta</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1088/1755-1315/39/1/012061" target="_blank" >10.1088/1755-1315/39/1/012061</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Dynamic computing resource allocation in online flood monitoring and prediction

Popis výsledku v původním jazyce

This paper presents tools and methodologies for dynamic allocation of high performance computing resources during operation of the Floreon+ online flood monitoring and prediction system. The resource allocation is done throughout the execution of supported simulations to meet the required service quality levels for system operation. It also ensures flexible reactions to changing weather and flood situations, as it is not economically feasible to operate online flood monitoring systems in the full performance mode during non-flood seasons. Different service quality levels are therefore described for different flooding scenarios, and the runtime manager controls them by allocating only minimal resources currently expected to meet the deadlines. Finally, an experiment covering all presented aspects of computing resource allocation in rainfall-runoff and Monte Carlo uncertainty simulation is performed for the area of the Moravian-Silesian region in the Czech Republic.

Název v anglickém jazyce

Dynamic computing resource allocation in online flood monitoring and prediction

Popis výsledku anglicky

This paper presents tools and methodologies for dynamic allocation of high performance computing resources during operation of the Floreon+ online flood monitoring and prediction system. The resource allocation is done throughout the execution of supported simulations to meet the required service quality levels for system operation. It also ensures flexible reactions to changing weather and flood situations, as it is not economically feasible to operate online flood monitoring systems in the full performance mode during non-flood seasons. Different service quality levels are therefore described for different flooding scenarios, and the runtime manager controls them by allocating only minimal resources currently expected to meet the deadlines. Finally, an experiment covering all presented aspects of computing resource allocation in rainfall-runoff and Monte Carlo uncertainty simulation is performed for the area of the Moravian-Silesian region in the Czech Republic.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

IOP Conference Series: Earth and Environmental Science

ISBN

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ISSN

1755-1307

e-ISSN

—

Počet stran výsledku

11

Strana od-do

—

Název nakladatele

IOP Publishing

Místo vydání

Bristol

Místo konání akce

Shanghai

Datum konání akce

23. 7. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000390838800061