It is composed of a dynamic light-weight Hadoop job analyzer, and a prediction module using locally weighted regression methods. Our framework makes some ...
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It is composed of a dynamic light-weight Hadoop job analyzer, and a prediction module using locally weighted regression methods. Our framework makes some ...
It is composed of a dynamic light-weight Hadoop job analyzer, and a prediction module using locally weighted regression methods. Our framework makes some ...
It is composed of a dynamic light-weight Hadoop job analyzer, and a prediction module using locally weighted regression methods. Our framework makes some ...
A Hadoop MapReduce Performance Prediction. Method. Ge Song∗†, Zide Meng ... It is composed of a dynamic light-weight Hadoop job analyzer, and a prediction module ...
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In this paper, we propose a simple framework to predict the performance of Hadoop jobs. It is composed of a dynamic light-weight Hadoop job analyzer, and a ...
A Hadoop MapReduce Performance Prediction Method. Ge Song*+, Zide Meng ... Wang, “A practical performance model for hadoop mapreduce,” in CLUSTER Workshops, 2012, ...
Jul 23, 2024 · In this study, we present a comprehensive machine learning approach for predicting the execution time of MapReduce jobs.
This document proposes a Hadoop MapReduce performance prediction method that uses a cost model and prediction module. The cost model analyzes the resource ...
Sep 24, 2015 · Hadoop MapReduce Performance Prediction job performance by predicting job performance. This engine is actually a predictor. It gives a ...
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