resources will be reused to perform batch processing using methods like map / reduce. What is the map / reduce method? How does it work? What advantages does this method offer?
map/reduce was originally conceptualized and made open source by google. We want to revisit this model and apply it onto StrongNode technology to process massive amount of BIG DATA projects whether if it is looking for aliens or sequencing genome structures. map/reduce can apply to these datasets and these idle resource can do basic computational blocks and of course every CPU is different and should be handled differently.
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