首页    期刊浏览 2024年10月06日 星期日
登录注册

文章基本信息

  • 标题:A Parallel Processing Method for Moving Top-K Spatial Keyword Query
  • 本地全文:下载
  • 作者:Kunlun Chen ; Yanru Liu ; Qingxu Deng
  • 期刊名称:Journal of Software Engineering and Applications
  • 印刷版ISSN:1945-3116
  • 电子版ISSN:1945-3124
  • 出版年度:2019
  • 卷号:12
  • 期号:04
  • 页码:72-84
  • DOI:10.4236/jsea.2019.124006
  • 出版社:Scientific Research Publishing
  • 摘要:We propose an influential set based moving k keyword query processing model, which avoids the shortcoming of safe region-based approaches that the update cost and update frequency cannot be optimized simultaneously. Based on the model, we design a parallel query processing method and a parallel validation method for multicore processing platforms. The time complexity of the algorithms is O ((log| D |+ p . k )/ p . k ) and O (log p . k ), respectively, which are all O (1/ k ) times the time complexity of the state-of-the-art method. The experiment result confirms the superiority of our algorithms over the state-of-the-art method.
  • 关键词:Spatial Keywords;KNearest Neighbors;Influential Set;Spatial Moving Query;Safe Region
国家哲学社会科学文献中心版权所有