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MapReduce: Simplified Data Processing on Large Clusters

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    MapReduce 论文发表于 OSDI 2004.
    MapReduce: Simplified Data Processing on Large Clusters
    History of massive-scale sorting experiments at Google
    The history of Hadoop

    MapReduce_Simplified Data Processing on Large Clusters.pdf

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    • 计算机基础
      • Great Papers In Computer Science
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      • List of important publications in computer science
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    • 大数据和分布式计算
      • 0. 重要会议
      • 1. 大数据技术栈
      • A Distributed Systems Reading List
      • MapReduce: Simplified Data Processing on Large Clusters
      • GFS: The Google File System
      • Bigtable: A Distributed Storage System for Structured Data
      • Distributed snapshots: determining global states of distributed systems
      • Lightweight Asynchronous Snapshots for Distributed Dataflows
      • The Dataflow Model
      • Drizzle- Fast and Adaptable Stream Processing at Scale
      • Apache Flink Stream and Batch Processing in a Single Engine
      • State Management in Apache Flink
      • [Book] Streaming Systems
      • [Doing] OneFlow: Redesign the Distributed Deep Learning Framework from Scratch
      • Dataframe Systems - Theory, Architecture, and Implementation
      • Exoshuffle: Large-Scale Shuffle at the Application Level
      • Scaling Distributed Machine Learning with the Parameter Server
      • [TODO] Pathways: Asynchronous Distributed Dataflow for ML
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