Hyperscale computing
In computing, hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system. This typically involves the ability to seamlessly provision and add compute, memory, networking, and storage resources to a given node or set of nodes that make up a larger computing, distributed computing, or grid computing environment. 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,[1] Google,[2] Microsoft,[3] or Amazon.[4][5]
See also
References
- ^ Miller, Rich. "A Hyper-Scale Cloud Data Center, Seen From the Clouds". Data Center Knowledge.
- ^ "Google Data Centers". Google.
- ^ "Microsoft Expands Its Hyperscale Cloud Footprint". eweek.com.
- ^ Furrier, John. "Fusion-io Launched New Hyperscale Flash Product to Scale Data Centers for Enterprises, Not Just Facebook". Silicon Angle.
- ^ Rouse, Margaret. "Definition: Hyperscale Computing". TechTarget.
External links
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