1. Natural Disaster Mitigation: The LA Grid InitiativeHctor A. Durn-Limn, University of Guadalajara

2. ContentLA Grid InitiativeDisaster Mitigation NeedsThe WRF Web Portal: A case exampleChallenges aheadConclusions 3. LA Grid Initiative 4. LA Grid 5. LA Grid InitiativeMain GoalsEducationResearchCollaborationTalent developmentStrategy: High impact areasHurricane mitigationHealth care 6. LA Grid InitiativeThe main outcome so far since 2006Talent developmentCollaboration networkTechnology development for disaster mitigation 7. Disaster Mitigation Needs 8. Disaster Mitigation NeedsWe have faced devastating disasters in the last yearsTsunamisJapan 2011Indonesia and Thailand 2004 EarthquakesHaiti 2010China 2010Chile 2010 HurricanesKatrina August 2005Wilma October 2005 9. Disaster Mitigation NeedsBetter prediction capacity is required to generate betterevacuation plans Finer grained predictionsSpecific geographical area Predictions should be obtained in time Federated support vs Centralised support 10. Disaster Mitigation NeedsPrediction models usually require a large amount ofcomputing powerGrid and Cloud Computing can potentially bring morepower than Clusters 11. The WRF Web Portal: A caseexample 12. The WRF Web PortalThe Weather Research and Forecasting (WRF)Gaining acceptance as one of the best modelsCan also be used to predict evolution of forest fires and predictair pollutionHowever, demands a huge amount of CPU power 13. 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 areaResearch on meteorologyPrivate cloud computing environmentChallenge Increase performance while retain benefits of cloud computing environment 14. Challenges 15. Cloud Computing and HPCExamples of HPC applications include:Weather ForecastingQuantum Chemistry CalculationsAccelerator ModellingAstrophysical SimulationsThis kind of Apps have huge demands of computingresourcesTraditionally supported by cluster- or Grid-based systems 16. 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 forInfrastructureSalaries for maintenance functionsThe possibility of using Cloud computing for HPC Apps isattractive 17. 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 18. Performance PredictionAllows for Capacity planningHelps to establish and maintain a Service Level Agreement(SLA)Most approaches either focus ona specific applicationa specific platform configuration 19. Performance PredictionNeed for supporting the following characteristicsApplication agnosticPlatform configuration independencyMulticore systemsVirtualised environments 20. ConclusionsWe presented the LA Grid initiativeWe have identified some needs in natural disastermitigationThe WRF Web Portal case example was presentedSome challenges were outlined 21. Thank you!Hector Duran-LimonUniversity of Guadalajara, Mexicohduran@cucea.udg.mxhttp://maestro.cucea.udg.mx/~hduran/