摘要
通过对象检索的分布式计算机数据库系统的应用分析,解决了计算机网络资源条件受限以及服务器拥塞的相关问题。分区域微管理,减少了任务服务器和仲裁服务器的处理负荷,避免了服务器的拥塞,从而提高了文件提取的效率,计算出每一个关键词对应提取的文件数量,进而计算出各个区域内关键词对应提取的数量,实现各区域公平提取,减少不必要的检索,也提高文件提取的效率。
By the distributed computer database system and method of object retrieval based on an example,the problems of limited computer network resources and server congestion are solved.Regional micro management help to reduce the processing load of task and arbitration server has been reduced,the congestion of server is avoided,so the efficiency of file extraction is improved greatly.With the calculation of the numbers of files corresponding to each keyword,the fair extraction of each region have been achieved according to the number of files corresponding to each keyword,which can reduce unnecessary retrieval and improve the efficiency of file extraction.
作者
王晓燕
刘荷花
孙泰
WANG Xiaoyan;LIU Hehua;SUN Tai(Department of Computer Science and Engineering,Taiyuan University,Taiyuan 030032,China)
出处
《太原学院学报(自然科学版)》
2020年第1期68-72,共5页
Journal of TaiYuan University:Natural Science Edition
基金
2017年山西省高等学校教学改革创新项目(J2017130)
2019年山西省教育科学“十三五”规划课题(GH-19136)。