Difference between revisions of "Issues of Scale - BE"

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(HyperScale)
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==HyperScale==
 
==HyperScale==
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In computing, hyperscale is the ability of an architecture to scale appropriately and quickly in a cost-effective manner as increased demand is added to the system. Hyperscale computing is necessary in order to build a robust and scalable cloud, big data, map reduce, or distributed storage system and is often associated with the infrastructure required to run large distributed sites such as Facebook, Google, Microsoft, Azure or Amazon AWS.
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==Companies==
 
==Companies==
 
==End of forgetting==
 
==End of forgetting==

Revision as of 10:05, 16 February 2017

HyperScale

In computing, hyperscale is the ability of an architecture to scale appropriately and quickly in a cost-effective manner as increased demand is added to the system. Hyperscale computing is necessary in order to build a robust and scalable cloud, big data, map reduce, or distributed storage system and is often associated with the infrastructure required to run large distributed sites such as Facebook, Google, Microsoft, Azure or Amazon AWS.

Companies

End of forgetting

Jeffrey Rosen - "The Web means the end of forgetting"

Practical Obscurity