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Stage Aware Performance Modeling of DAG Based in Memory Analytic Platforms
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Local Polynomial Modelling and its Applications
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Analytical Performance Models for MapReduce Workloads
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Local Polynomial Modelling and its Applications
inferredcites →https://doi.org/10.1109/bigdata.2013.6691648openalex-snapshot
Correlation-based performance analysis for full-system MapReduce optimization
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An analytical performance model of MapReduce
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Performance Modeling of MapReduce Jobs in Heterogeneous Cloud Environments
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Modeling the Performance of MapReduce under Resource Contentions and Task Failures
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Performance Modeling for RDMA-Enhanced Hadoop MapReduce
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Modeling and Analyzing Key Performance Factors of Shared Memory MapReduce
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Towards Machine Learning-Based Auto-tuning of MapReduce
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Improving MapReduce Performance Using Smart Speculative Execution Strategy
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Performance analysis model for big data applications in cloud computing
inferredcites →https://doi.org/10.14778/2735461.2735465openalex-snapshot
In-memory performance for big data
inferredcites →https://doi.org/10.14778/3402755.3402792openalex-snapshot
MapReduce programming and cost-based optimization?
inferredcites →https://doi.org/10.5281/zenodo.19712698openalex-snapshot
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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