Cloud Computing-Based Rehabilitation Services Information System

Xiao Hua Chen; Yun Long Ma; Guo Feng Zhang; Bo Liu

doi:10.4028/www.scientific.net/AMM.415.389

Paper Titles

Rehabilitation Management System Oriented Cloud Services Integration Technology
p.371

Analysis on Building Information-Based Platform in University Health Education
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Serial Communication and Data Processing Based on Laboratory Virtual Instrument Engineering Workbench
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The Submarine Rescue Command Simulation Training Information System Based on the HLA
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Cloud Computing-Based Rehabilitation Services Information System
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Research on SOM-Based Query Reformulation in Emergency Decision
p.396

Research on Air-to-Air and Air-to-Ground Combat Embedded Training System
p.402

Radiated Noise Source Localization of Hydraulic Excavator Based on Wavelet Packet Analysis
p.409

A Comparative Analysis of Inductors with Square and Conical Contours
p.414

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 415Cloud Computing-Based Rehabilitation Services...

Cloud Computing-Based Rehabilitation Services Information System

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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Periodical:

Applied Mechanics and Materials (Volume 415)

Pages:

389-395

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.415.389

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Online since:

September 2013

Authors:

Xiao Hua Chen, Yun Long Ma, Guo Feng Zhang, Bo Liu

Keywords:

Cloud Computing, Data Sharing, MapReduce Parallel Computing of the Rehabilitation Services Information System, Mass Data Processing

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References

[1] F. Gao, H.L. Yuan, Research and Design Based on the Distributed Data Integration System, [J], Information Technologies, 2009, 5: 33-36.

Google Scholar

[2] Q.Y. Li, Design and Realization Research of the Health Information Cloud Center, [D], South China University of Technology, (2011).

Google Scholar

[3] J.P. Feng, L.H. Wu, Cloud Computing Technology & Cloud Computing Services Mode: the Future of the Global Informationization, [J], Information System Engineering, 2009, (11): 78-80.

Google Scholar

[4] Y.J. Liu, L.T. Xu, Study and Realization of the Cloud Computing Platform Based Personal Information Integration System, [D], Beijing University of Posts and Telecommunication, (2010).

Google Scholar

[5] W. Yu, Cloud Computing Based Distributed Searching Technology, [D], Wuhan University of Science and Technology, (2011).

Google Scholar

[6] J.Z. Luo, J.H. Jin, A.B. Song and F. Dong, Cloud Computing: System Framework & Key Technologies, [J], Telecommunication Journal, Vol. 7, (2011).

Google Scholar