A reportagem destaca como o SegHidro, usando o OuGrid como middleware, tem ajudado cientistas e engenheiros a lidar com os problemas causados pela seca no nordeste brasileiro.
Segue um trecho da reportagem, que pode ser lida na íntegra aqui
Number Crunching Made Easy
Cloud computing is making high-end computing readily available to researchers in rich and poor nations alike.
A dwindling water supply spells disaster for the residents of Brazil's arid Northeast, who live by subsistence agriculture. Droughts have become longer and more frequent, and every year more families set off for the urban slums. Predicting how rainfall patterns will shift in a few years and how it will affect aquifers and agricultural output has become an urgent task. Civil engineers need to know where to build reservoirs and how much water they should hold. But this kind of local climate modeling requires a lot of number crunching, and supercomputers are rare in these parts.
To get around this hurdle, a group of universities and government labs, called SegHidro (which means "water security"), pooled the computing resources in labs scattered throughout the country. Using software called OurGrid, they adapt global climate models to local conditions, parceling out pieces of the massive job to little computers in the network. This kind of collaboration is getting a big boost from new so-called cloud-computing services from Amazon, Google and Microsoft. By driving down the cost of scientific computation, it promises to be a boon to researchers in rich and poor nations.
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