ecms_neu_mini.png

Digital Library

of the European Council for Modelling and Simulation

 

Title:

Flood Prediction Model Simulation With Heterogeneous Trade-Offs In High Performance Computing Framework

Authors:

Antonio Portero, Radim Vavrik, Stepan Kuchar, Martin Golasowski, Vit Vondrak, Simone Libutti, Giuseppe Massari, William Fornaciari

Published in:

 

 

(2015).ECMS 2015 Proceedings edited by: Valeri M. Mladenov, Grisha Spasov, Petia Georgieva, Galidiya Petrova, European Council for Modeling and Simulation. doi:10.7148/2015

 

 

ISBN: 978-0-9932440-0-1

 

29th European Conference on Modelling and Simulation,

Albena (Varna), Bulgaria, May 26th – 29th, 2015

 

Citation format:

Antonio Portero, Radim Vavrik, Stepan Kuchar, Martin Golasowski, Vit Vondrak, Simone Libutti, Giuseppe Massari, William Fornaciari (2015). Flood Prediction Model Simulation With Heterogeneous Trade-Offs In High Performance Computing Framework, ECMS 2015 Proceedings edited by: Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova  European Council for Modeling and Simulation. doi:10.7148/2015-0115

DOI:

http://dx.doi.org/10.7148/2015-0115

Abstract:

In this paper, we propose a safety-critical system with a run-time resource management that is used to operate an application for flood monitoring and prediction. This application can run with different Quality of Service (QoS) levels depending on the current hydrometeorological situation.

The system operation can follow two main scenarios - standard or emergency operation. The standard operation is active when no disaster occurs, but the system still executes shortterm prediction simulations and monitors the state of the river discharge and precipitation intensity. Emergency operation is active when some emergency situation is detected or predicted by the simulations. The resource allocation can either be used for decreasing power consumption and minimizing needed resources in standard operation, or for increasing the precision and decreasing response times in emergency operation. This paper shows that it is possible to describe different optimal points at design time and use them to adapt to the current quality of service requirements during run-time.

 

Full text: