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Big data: Scale down, scale up, scale out

2015 IEEE International Parallel and Distributed Processing Symposium, 2015
Summary form only given, as follows. The Big Data performance challenge arises whenever the volume or velocity of data overwhelms current processing systems and techniques, resulting in performance that falls far short of desired. Three approaches to improving the performance by orders of magnitude are: 1) Scale down the amount of data processed or the
openaire   +1 more source

Scaling

Annual Review of Psychology, 1965
G, EKMAN, L, SJOEBERG
openaire   +2 more sources

Pore-scale modeling of complex transport phenomena in porous media

Progress in Energy and Combustion Science, 2022
Li Chen, An He, Jianlin Zhao
exaly  

Scale-Up of Photochemical Reactions: Transitioning from Lab Scale to Industrial Production

Annual Review of Chemical and Biomolecular Engineering, 2023
Stefan D A Zondag   +2 more
exaly  

Scale, Scale, Scale?

Economic Geography, 1968
openaire   +1 more source

Scales, Scaling and Scale-Up

IOR 2005 - 13th European Symposium on Improved Oil Recovery, 2005
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Scaling

Annual Review of Psychology, 1984
openaire   +2 more sources

Scales

Music and Letters, 1926
openaire   +1 more source

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