As the traditional method of massive data processing has shortcomings of high cost in hardware and the difficulties in parallel programming, a campus cloud computing system platform to handle massive data is designed based on the theory of cloud computing. This cloud computing system is based on the Hadoop distributed computing framework, using map-reduce programming model achieve parallel processing of the massive data. This system can save cost and reduce the difficulty of parallel programming.