首页> 外文会议> >Prefetching based on the type-level access pattern in object-relational DBMSs
【24h】

Prefetching based on the type-level access pattern in object-relational DBMSs

机译:在对象关系型DBMS中基于类型级别访问模式的预取

获取原文

摘要

Prefetching is an effective method for minimizing the number of round-trips between the client and the server in database management systems. We propose new notions of the type-level access locality and the type-level access pattern. We also formally define the notions of capturing and prefetching to help understand the underlying mechanisms. We then develop an efficient prefetching policy based on these notions and the framework. The type-level access locality is a phenomenon that repetitive patterns exist in the attributes referenced. The type-level access pattern is a pattern of attributes that are referenced in accessing the objects. Existing prefetching methods are based on object-level or page-level access patterns, which consist of object-ids or page-ids of the objects accessed. However the drawback of these methods is that they work only when exactly the same objects or pages are accessed repeatedly. In contrast even though the same objects are not accessed repeatedly our technique effectively prefetches objects if the same attributes are referenced repeatedly, i.e., if there is type-level access locality. Many navigational applications in object-relational database management systems (ORDBMSs) have type-level access locality. Therefore, our technique can be employed in ORDBMSs to effectively reduce the number of round trips, thereby significantly enhancing the performance.
机译:预取是一种用于最小化数据库管理系统中客户端与服务器之间往返次数的有效方法。我们提出了有关类型级别访问局部性和类型级别访问模式的新概念。我们还正式定义了捕获和预取的概念,以帮助理解底层机制。然后,我们根据这些概念和框架开发一种有效的预取策略。类型级别的访问局部性是在引用的属性中存在重复模式的现象。类型级别访问模式是在访问对象时引用的属性的模式。现有的预取方法基于对象级别或页面级别的访问模式,该模式由访问的对象的对象ID或页面ID组成。但是,这些方法的缺点是它们仅在重复访问完全相同的对象或页面时才起作用。相反,即使不重复访问相同的对象,如果重复引用相同的属性,即存在类型级别的访问位置,我们的技术也会有效地预取对象。对象关系数据库管理系统(ORDBMS)中的许多导航应用程序都具有类型级别的访问位置。因此,我们的技术可用于ORDBMS中,以有效地减少往返次数,从而显着提高性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号