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BRAIN. Broad Research in Artificial Intelligence and Neuroscience-Stable Modeling on Resource Usage Parameters of MapReduce Application

Tersimpan di:
Main Author: Yangyuan Li
Format: Article
Bahasa: eng
Terbitan: , 2018
Subjects:
MapReduce application
multiple linear regression
minimum sampling time
Online Access: https://www.edusoft.ro/brain/index.php/brain/article/view/806/912
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https://www.edusoft.ro/brain/index.php/brain/article/view/806/912

Lihat Juga

  • Stable Modeling on Resource Usage Parameters of MapReduce Application-Figure 7. Minimum sampling time of MapReduce applications on various response variable
    oleh: Yangyuan Li
    Terbitan: (2018)
  • Stable Modeling on Resource Usage Parameters of MapReduce Application-Figure 8. Minimum sample time of statistical metrics of MapReduce applications
    oleh: Yangyuan Li
    Terbitan: (2018)
  • Stable Modeling on Resource Usage Parameters of MapReduce Application-Figure 6. RSE and R2 of regression models of MapReduce applications
    oleh: Yangyuan Li
    Terbitan: (2018)
  • Stable Modeling on Resource Usage Parameters of MapReduce Application-Figure 4. Statistical Metrics distribution of model on RIO as response of Terasort application
    oleh: Yangyuan Li
    Terbitan: (2018)
  • Stable Modeling on Resource Usage Parameters of MapReduce Application-Figure 3. Estimate coefficients distribution of model on read rate as response of Terasort application
    oleh: Yangyuan Li
    Terbitan: (2018)
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