Analysis and Study on under Cloud Computing Multiple Sets of Fault Tolerance Strategy Architecture of MapReduce

ZHANG Zhi-bin; LI Yan-ge

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Analysis and Study on under Cloud Computing Multiple Sets of Fault Tolerance Strategy Architecture of MapReduce

更新时间：2026-09-04

- Analysis and Study on under Cloud Computing Multiple Sets of Fault Tolerance Strategy Architecture of MapReduce
- Vol. 31, Issue 1, Pages: 52-55(2014)
- 作者机构：
  
  河南理工大学机构计算机科学与技术学院,河南,焦作,454000
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2014
- 稿件说明：
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张治斌, 李燕歌. 云计算下MapReduce多组容错机制架构的分析与研究[J]. 微电子学与计算机, 2014, 31(1): 52-55,59.

ZHANG Zhi-bin, LI Yan-ge. Analysis and Study on under Cloud Computing Multiple Sets of Fault Tolerance Strategy Architecture of MapReduce[J]. 2014, 31(1): 52-55.
张治斌, 李燕歌. 云计算下MapReduce多组容错机制架构的分析与研究[J]. 微电子学与计算机, 2014, 31(1): 52-55,59. DOI：

ZHANG Zhi-bin, LI Yan-ge. Analysis and Study on under Cloud Computing Multiple Sets of Fault Tolerance Strategy Architecture of MapReduce[J]. 2014, 31(1): 52-55. DOI：

摘要

提出了MapReduce多组容错机制，在传统的Hadoop MapReduce架构上进行改进，即在同机柜中的Task-T racker节点之间增加了多组关系，这样可以缩短发现失效节点的时间，同时减轻JobT racker节点的负荷，减低了带宽使用率，减少网络拥塞.通过实验证明，M apReduce多组容错机制提高了M apReduce的工作效率.

Abstract

This paper presents a Multiple Sets of Fault Tolerance Strategy of MapReduce

improve Hadoop MapReduce framework

between TaskTracker node in the same cabinet group relationship added multiple sets relations

it can short the time of founding the failed node

at the same time

reduce the load of JobTracker node

bandwidth utilization and network congestion.The experimental results show that Multiple Sets of Fault Tolerance Strategy of MapReduce improved the efficiency of MapReduce.

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