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基于内存数据库提升铁路货车追踪应用性能的研究

颜昌盛, 范娟娟, 海洋, 高明星

颜昌盛, 范娟娟, 海洋, 高明星. 基于内存数据库提升铁路货车追踪应用性能的研究[J]. 铁路计算机应用, 2015, 24(6): 26-30.
引用本文: 颜昌盛, 范娟娟, 海洋, 高明星. 基于内存数据库提升铁路货车追踪应用性能的研究[J]. 铁路计算机应用, 2015, 24(6): 26-30.
YAN Changsheng, FAN Juanjuan, HAI Yang, GAO Mingxing. Application performance of railway freight car tracking based on in-memory database[J]. Railway Computer Application, 2015, 24(6): 26-30.
Citation: YAN Changsheng, FAN Juanjuan, HAI Yang, GAO Mingxing. Application performance of railway freight car tracking based on in-memory database[J]. Railway Computer Application, 2015, 24(6): 26-30.

基于内存数据库提升铁路货车追踪应用性能的研究

详细信息
    作者简介:

    颜昌盛,高级工程师;范娟娟,高级工程师。

  • 中图分类号: U294:TP39

Application performance of railway freight car tracking based on in-memory database

  • 摘要: 介绍铁路货车追踪应用的背景及当前存在的性能问题,针对实际情况提出利用内存数据库解决性能问题的思路,并进行了POC测试。测试结果证明,采用内存数据库解决当前货车追踪应用面临的性能问题,无论是从前期投入还是从后期维护角度看,都具有可行性。
    Abstract: This paper introduced the background of the railway freight car tracking application and its current performance problem. Based on a comprehensive analysis, a totally new method of using the in-memory database was put forward to solved the problem, the POC test was done afterwards. The test result proved that it was practicable to use the in-memory database to improve performance and reduce cost, from the point of new, whether the early stage investment or the later stage of maintenance, the method was feasible.
  • [1] 盖国强. 内存数据库的基本原理与应用[EB/OL]. http://www.eygle.com/digest/2011/11/memdb_timesten_altibase.html.2011.
  • 期刊类型引用(2)

    1. 王凤琳. 基于TimesTen内存数据库提升股道现车同步应用性能的研究与测试. 铁路计算机应用. 2019(02): 16-21 . 本站查看
    2. 左博. 编组站钩计划动态打印系统的开发与应用. 铁路计算机应用. 2016(07): 43-45 . 本站查看

    其他类型引用(0)

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  • 被引次数: 2
出版历程
  • 收稿日期:  2015-01-22
  • 刊出日期:  2015-06-24

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