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Hadoop Performance Models

2011/06/06 by Herodotos Herodotou, Herodotou, Herodotos · 1 citation
Business, Management and Accounting · Computer Science · #Big Data and Business Intelligence #Cloud Computing and Resource Management #Data Mining Algorithms and Applications #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)

paper · pdf · doi:10.48550/arxiv.1106.0940

openalex publication_date 2011/06/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Hadoop MapReduce is now a popular choice for performing large-scale data analytics. This technical report describes a detailed set of mathematical performance models for describing the execution of a MapReduce job on Hadoop. The models describe dataflow and cost information at the fine granularity of phases within the map and reduce tasks of a job execution. The models can be used to estimate the performance of MapReduce jobs as well as to find the optimal configuration settings to use when running the jobs.

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