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Building Scalable Applications
The client needed to showcase Window Azure’s ability to service as an elastic, scalable platform on which scientific computation applications could be built with ease.
Making it happen
After collecting the client’s business requirements, Xtreme quickly designed, developed and deployed a fully functional application demo able to forecast weather anywhere in the world. The demo’s forecast was computed from the same NOAA weather data and WRF toolset used by a variety of government and science organizations.
Key demo functions include:
+ Utilization of Azure HPC Scheduler to manage the distribution of weather forecast jobs in the HPC cluster.
+ Utilization of Azure Blob and Table Storage to keep track of jobs and store intermediate and final results.
+ Leverages Bing Map Tiles to produce animated final results.
+ Highlighted the capabilities of Windows Azure HPC Scheduler.
+ Showcased the ability of Azure to host scientific computation workloads and methods of adopting of it from Linux/Unix systems.
"Xtreme’s wide experience with building web, scientific computing and infrastructure-as-a-service workloads on the Windows Azure platform made us a great choice for the development of this exciting demonstration of on-demand computing." - Daniel Odievich, Xtreme Technical Project Manager