Commodity computing: Difference between revisions

Revision as of 08:50, 15 December 2009

Revision as of 00:37, 6 March 2010

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{{Unreferenced|date=August 2007}}

'''Commodity computing''' is computing done in commodity computers as opposed to supermicrocomputers or boutique computers. Commodity computers are [[computer system]]s manufactured by multiple vendors, incorporating components based on [[open standard]]s. Such systems are said to be based on [[commodity]] components since the standardization process promotes lower costs and less differentiation among vendor's products. A governing principle of commodity computing is that its better to have more lower performance, lower cost hardware working in parallel (eg [[AMD]] x86) than it is to have less but more expensive hardware (eg IBM [[POWER7]] ). At some point the number of discrete systems in a cluster or cloud will be greater than the [[MTBF]] for any hardware platform, no matter how reliable, fault tolerance must be built into the controlling software <ref>http://insidehpc.com/2008/06/02/google-fellow-sheds-some-light-on-infrastructure-robustness-in-face-of-failure</ref>. Purchases should be optimized on cost per unit of performance, not just absolute performance per CPU at any cost.

== History ==

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Standards such as [[SCSI]], [[FireWire]], and [[Fibre Channel]] help commodotize computer systems more powerful than typical PCs. Standards such as [[Advanced Telecommunications Computing Architecture|ATCA]] and [[Carrier Grade Linux]] are helping to commoditize [[telecommunication]]s systems. [[Blade server]]s, [[server farm]]s, and [[computer cluster]]s are also [[computer architecture]]s that exploit commodity [[Computer hardware|hardware]].

= Deployment =

*[[Google]]

*[[facebook]]

*[[Yahoo!]]

*[[GMAIL]]

*[[youtube]]

*[[Amazon EC2]]

*[[baidu]]

*[[IBM]]

*[[ImageShack]]

*[[GWS]]

*[[LinkedIN]]

*[[New York Times]]

== References ==

{{reflist}}

== External links ==

*[http://highscalability.com highscalability]

*[http://insidehpc.com/2008/06/02/google-fellow-sheds-some-light-on-infrastructure-robustness-in-face-of-failure Inside HPC]

*[http://labs.google.com/papers/mapreduce-osdi04-slides/index-auto-0021.html Fault tolerance Handled via re-execution]

*[http://hadoop.apache.org/ HADOOP]

[[Category:Computing platforms]]