An improved schedule of MapReduce programming environment in cloud computing

Background processing technology is the overall protection of cloud computing system. Large-scale data processing technology plays a key role in background data collection and arrangement of the cloud computing. Google´s MapReduce programming mode is a parallel programming model, widely used in processing and generating large data sets, and its scheduling mechanism is an important part of the model. In this article, the implementation process of MapReduce programming environment is analyzed, and a improvement in scheduling mechanisms is proposed.