The Application of MapReduce in the Cloud Computing

摘要

Hadoop provides a sophisticated framework for cloud platform programmers, which, MapReduce is a programming model for large-scale data sets of parallel computing. By MapReduce distributed processing framework, we are not only capable of handling large-scale data, and can hide a lot of tedious details, scalability is also wonderful. This paper analyzes the Hadoop architecture and MapReduce Working principle, described how to perform a MapReduce job in the cloud platform, how to write Mapper and Reducer classes, and how to use the object, proposed a program based on the MapReduce framework that enables distributed programming, Comparison results show that use of MapReduce architecture simplifies distributed programming.