DV-DVFS: merging data variety and DVFS technique to manage the energy consumption of big data processing

DV-DVFS: merging data variety and DVFS technique to manage the energy consumption of big data processing

Abstract Data variety is one of the most important features of Big Data. Data variety is the result of aggregating data from multiple sources and uneven distribution of data. This feature of Big Data causes high variation in the consumption of processing resources such as CPU consumption. This issue...

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Bibliographic Details
Main Authors: Hossein Ahmadvand, Fouzhan Foroutan, Mahmood Fathy
Format: Article
Language:English
Published: SpringerOpen 2021-03-01
Series:Journal of Big Data
Subjects:
Data variety
DVFS
Energy consumption
Big Data
Online Access:https://doi.org/10.1186/s40537-021-00437-7

Internet

https://doi.org/10.1186/s40537-021-00437-7

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