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.