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文章基本信息

  • 标题:Optimization Model Based Web Application Distribution in Mixed Internet of Things
  • 本地全文:下载
  • 作者:Lei Wei-Jun ; Hu Ruo ; Gu Xiao Jun
  • 期刊名称:Journal of Software Engineering
  • 印刷版ISSN:1819-4311
  • 电子版ISSN:2152-0941
  • 出版年度:2017
  • 卷号:11
  • 期号:1
  • 页码:40-46
  • DOI:10.3923/jse.2017.40.46
  • 出版社:Academic Journals Inc., USA
  • 摘要:Background and Objective: This study was supported by the Xi-an Science and Technology Plan Project and Natural Science Fund Project in Guang Dong province. The purpose of the study is to present an optimization method that searches for an optimal solution to the exploiting weakness problem. Materials and Methods: The proposed optimization method was performed to determine the minimum number and the best positions of the moving web applications. Hence, the main finding is that moving web applications are added after the original distribution to overcome the exploiting weakness problem. To achieve optimal exploiting, a main method was employed to find the best positions of the extra moving web applications. Results: The results shows the exploiting ratio increases as the number of deployed non-moving web applications increases. Conclusion: The non-moving web applications are freely deployed after adding the moving web applications to the network. The performance of the optimization model was estimated using several methods and the simulation results showed that the proposed models can optimize the network exploiting in terms of the overall exploiting ratio and the numbers of extra moving web applications.
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