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  • 标题:Research on the Data Synchronization of Cloud Stroke based on JSON
  • 本地全文:下载
  • 作者:Hua Gu ; LeiHuang ; Jing Liu
  • 期刊名称:International Journal of Grid and Distributed Computing
  • 印刷版ISSN:2005-4262
  • 出版年度:2016
  • 卷号:9
  • 期号:7
  • 页码:201-210
  • DOI:10.14257/ijgdc.2016.9.7.21
  • 出版社:SERSC
  • 摘要:Cloud stroke is the cloud platform according to the medical association theory and combing cloud computing technology, build for the hospital systems which are involved in the medical association to sharing and exchange medical information. However, at this stage, there are some problems in the data exchange of the cloud platform: Firstly, every hospital in the medical association needs to configure a front machine and the front machine needs to connect with the cloud platform database directly. So there is a hidden risk for the cloud stroke. Secondly, the data synchronization vector is Excel file, the data reading efficiency is not very well, and at the same time, the front machine memory consumption is relatively very large. This paper, improve the data interactive process of cloud stroke, so that the front machine unneeded to connect with the cloud platform database directly. Then, design data specification and synchronization process based on JSON for cloud stoke information synchronization to compress the expenses, improve the speed and analysis the security of data synchronization.
  • 关键词:JSON . data synchronization.
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