Survey of MapReduce Parallel Programming Model

LI Jian-jiang; CUI Jian; WANG Dan; YAN Lin; HUANG Yi-shuang

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Survey of MapReduce Parallel Programming Model

更新时间：2025-07-16

- Survey of MapReduce Parallel Programming Model
- Acta Electronica Sinica Vol. 39, Issue 11, Pages: 2635-2642(2011)
- 作者机构：
  
  1. 北京科技大学计算机与通信工程学院计算机科学与技术系,北京,100083
  2. 中国石油化工股份有限公司勘探南方分公司研究院,四川,成都,610041
  3. 北京科技大学计算机与通信工程学院计算机科学与技术系北京,100083
  4. 中国石油化工股份有限公司勘探南方分公司研究院四川成都,610041
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP316.4
- Published：2011
- 稿件说明：
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LI Jian-jiang, CUI Jian, WANG Dan, et al. Survey of MapReduce Parallel Programming Model[J]. Acta Electronica Sinica, 2011, 39(11): 2635-2642.
DOI：

LI Jian-jiang, CUI Jian, WANG Dan, et al. Survey of MapReduce Parallel Programming Model[J]. Acta Electronica Sinica, 2011, 39(11): 2635-2642. DOI：

摘要

MapReduce并行编程模型通过定义良好的接口和运行时支持库

能够自动并行执行大规模计算任务

隐藏底层实现细节

降低并行编程的难度.本文对MapReduce的国内外相关研究现状进行了综述

阐述和分析了当前国内外与MapReduce相关的典型研究成果的特点和不足

重点对MapReduce涉及的关键技术(包括:模型改进、模型针对不同平台的实现、任务调度、负载均衡和容错)的研究现状进行了深入的分析.本文最后还对MapReduce未来的发展趋势进行了展望.

Abstract

Through well-defined interfaces and runtime support library

MapReduce parallel programming model can automatically perform the large-scale computing tasks in parallel

hide the underlying implementation details

and reduce the difficulty of parallel programming.This paper reviews the domestic and overseas research of the MapReduce

describes and analyzes the characteristics and lack of the typical research achievements about MapReduce at home and abroad.Then this paper focus on the in-depth analysis of the key technologies about MapReduce (including:model optimization

model implementation according to the different platforms

task scheduling

load balancing

and fault tolerance).Finally

this paper prospects the MapReduce for the future trend.

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