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Redshift (theory)
Redshift is a techno-economic theory suggesting hypersegmentation of information technology markets based on whether individual computing needs are over or under-served by Moore's law, which predicts the doubling of computing transistors (and therefore roughly computing power) every two years. The theory,
proposed and named by New Enterprise Associates partner and former Sun Microsystems CTO Greg Papadopoulos, categorized a series of high growth markets (redshifting) while predicting slower GDP-driven growth in traditional computing markets (blueshifting). Papadopoulos predicted the result will be a fundamental redesign of components comprising computing systems.
==Hypergrowth market segments (redshifting)==
According to the Redshift theory, applications "redshift" when they grow dramatically faster than Moore's Law allows, growing quickly in their absolute number of systems.〔Greg Papadopoulos: Sun Analyst Summit 2007, http://sun.feedroom.com/linking/?skin=oneclip&fr_story=FEEDROOM178646&hl=false〕 In these markets, customers are running out of datacenter real-estate, power and cooling infrastructure.〔New York Times, June 14, 2006: http://www.nytimes.com/2006/06/14/technology/14search.html?ex=1307937600〕 According to Dell Senior Vice President Brad Anderson, “Businesses requiring hyperscale computing environments – where infrastructure deployments are measured by up to millions of servers, storage and networking equipment – are changing the way they approach IT.”〔Dell Press Release: http://www.dell.com/content/topics/global.aspx/corp/pressoffice/en/2007/2007_03_27_rr_000?c=us&l=en&s=corp〕
While various Redshift proponents offer minor alterations on the original presentation, “Redshifting” generally includes:〔
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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