• 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