Abstract: Aiming at a university teaching resource platform for massive log analysis,analysis and processing are transformed from the traditional stand-alone mode to using Hadoop MapReduce framework under the distributed processing.MapReduce uses the idea of dividing and rule,which is good solution to the bottleneck problem alone generated massive data processing.Through the use of Hadoop source code analysis and careful study of massive data processing using MapReduce job flow analysis,this paper presented optimization strategy MapReduce distributed computing operations to better improve the processing efficiency of massive data.

Key words: Hadoop,Massive data,MapReduce,Distributed computing