Abstract
This paper, aiming at solving the difficulties of data sharing, mass data processing and others, brings up the cloud-computing-based rehabilitation services system, which is composed of three layers: the core services layer, services management layer and user access interface layer. It also puts forward the MapReduce parallel computing algorithm to solve the mass data processing problems in the system. Through the system, the superior resources can be integrated and deployed collaboratively to realize data sharing and high-speed processing of mass data. In Part 4, the application cases are presented. The establishment of cloud-computing-based rehabilitation services information system is a significant try for the application of cloud computing, and will serve as a meaningful reference for the development of rehabilitation services in China.
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