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- 1. Natural Disaster Mitigation: The LA Grid Initiative Héctor A. Durán-Limón, University of Guadalajara
- 2. Content LA Grid Initiative Disaster Mitigation Needs The WRF Web Portal: A case example Challenges ahead Conclusions
- 4. LA Grid
- 5. LA Grid Initiative Main Goals Education Research Collaboration Talent development Strategy: High impact areas Hurricane mitigation Health care
- 6. LA Grid Initiative The main outcome so far since 2006 Talent development Collaboration network Technology development for disaster mitigation
- 8. Disaster Mitigation Needs We have faced devastating disasters in the last years Tsunamis Japan 2011 Indonesia and Thailand 2004 Earthquakes Haiti 2010 China 2010 Chile 2010 Hurricanes Katrina August 2005 Wilma October 2005
- 9. Disaster Mitigation Needs Better prediction capacity is required to generate better evacuation plans Finer grained predictions Specific geographical area Predictions should be obtained in time Federated support vs Centralised support
- 10. Disaster Mitigation Needs Prediction models usually require a large amount of computing power Grid and Cloud Computing can potentially bring more power than Clusters
- 11. The WRF Web Portal: A case example
- 12. The WRF Web Portal The Weather Research and Forecasting (WRF) Gaining acceptance as one of the best models Can also be used to predict evolution of forest fires and predict air pollution However, demands a huge amount of CPU power
- 13. The WRF Web Portal WRF Web Portal On demand runs of WRF Available for meteorologist of all Mexican States Support for: More accurate weather prediction on a local area Research on meteorology Private cloud computing environment Challenge Increase performance while retain benefits of cloud computing environment
- 14. Challenges
- 15. Cloud Computing and HPC Examples of HPC applications include: Weather Forecasting Quantum Chemistry Calculations Accelerator Modelling Astrophysical Simulations This kind of Apps have huge demands of computing resources Traditionally supported by cluster- or Grid-based systems
- 16. Cloud Computing and HPC Has experienced a tremendous growth recently Offers a number of advantages over other distributed paradigms. Access to resources is Flexible cost-effective. No need to pay large amount of money for Infrastructure Salaries for maintenance functions The possibility of using Cloud computing for HPC Apps is attractive
- 17. Cloud Computing and HPC Current cloud computing platforms are not suitable for running some of these applications The performances offered is very poor due to the extensive use of virtualisation The performance is specially degraded when there is a huge amount of IO operations No guarantees for QoS (i.e. execution time) can be offered
- 18. Performance Prediction Allows for Capacity planning Helps to establish and maintain a Service Level Agreement (SLA) Most approaches either focus on a specific application a specific platform configuration
- 19. Performance Prediction Need for supporting the following characteristics Application agnostic Platform configuration independency Multicore systems Virtualised environments
- 20. Conclusions We presented the LA Grid initiative We have identified some needs in natural disaster mitigation The WRF Web Portal case example was presented Some challenges were outlined
- 21. Thank you! Hector Duran-Limon University of Guadalajara, Mexico hduran@cucea.udg.mx http://maestro.cucea.udg.mx/~hduran/