Disaster Mitigation NeedsWe 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
Disaster Mitigation NeedsBetter prediction capacity is required to generate betterevacuation plans Finer grained predictions Specific geographical area Predictions should be obtained in time Federated support vs Centralised support
Disaster Mitigation NeedsPrediction models usually require a large amount ofcomputing powerGrid and Cloud Computing can potentially bring morepower than Clusters
The WRF Web PortalThe 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
The WRF Web PortalWRF 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
Cloud Computing and HPCExamples of HPC applications include: Weather Forecasting Quantum Chemistry Calculations Accelerator Modelling Astrophysical SimulationsThis kind of Apps have huge demands of computingresourcesTraditionally supported by cluster- or Grid-based systems
Cloud Computing and HPCHas experienced a tremendous growth recentlyOffers 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 functionsThe possibility of using Cloud computing for HPC Apps isattractive
Cloud Computing and HPCCurrent cloud computing platforms are not suitable forrunning some of these applicationsThe performances offered is very poor due to the extensiveuse of virtualisationThe performance is specially degraded when there is a hugeamount of IO operationsNo guarantees for QoS (i.e. execution time) can be offered
Performance PredictionAllows for Capacity planningHelps to establish and maintain a Service Level Agreement(SLA)Most approaches either focus on a specific application a specific platform configuration
Performance PredictionNeed for supporting the following characteristics Application agnostic Platform configuration independency Multicore systems Virtualised environments
ConclusionsWe presented the LA Grid initiativeWe have identified some needs in natural disastermitigationThe WRF Web Portal case example was presentedSome challenges were outlined
Thank you! Hector Duran-Limon University of Guadalajara, Mexico firstname.lastname@example.org://maestro.cucea.udg.mx/~hduran/
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