DocumentCode :
2195665
Title :
Medical Information Integration Based Cloud Computing
Author :
Huang, QingZang ; Ye, Lei ; Yu, MingYuan ; Wu, FuLi ; Liang, Ronghua
Author_Institution :
Coll. of Comput. Sci. & Technol., ZheJiang Univ. of Technol., Hangzhou, China
Volume :
1
fYear :
2011
fDate :
14-15 May 2011
Firstpage :
79
Lastpage :
83
Abstract :
Current medical image processing applications require management of huge amounts of data and executive high-performance computing. How to manage and analysis this large amount of data effectively is a major challenge. This paper shows the initial formulation of medical information integration model, it is designed to help medical workers and medical departments to share data, integrate resources and analyses data. The model using the technology of cloud computing to provide huge storage resources and powerful computing capacity. The application level of this system is on the basis of service. Hadoop cluster is the main calculation module and storage unit. MapReduce as the distributed computing technology.
Keywords :
cloud computing; medical image processing; Hadoop cluster; MapReduce; cloud computing; medical image processing applications; medical information integration model; Biomedical imaging; Cloud computing; Computational modeling; Data models; Picture archiving and communication systems; Servers; cloud computing; hadoop; mapreduce; medical image processing; medical information integrate; service computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Computing and Information Security (NCIS), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-61284-347-6
Type :
conf
DOI :
10.1109/NCIS.2011.24
Filename :
5948693
Link To Document :
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