首页> 外文会议>Advances in Web-Age Information Management >Using PR-Tree and HPIR to Manage Coherence of Semantic Cache for Location Dependent Data in Mobile Database
【24h】

Using PR-Tree and HPIR to Manage Coherence of Semantic Cache for Location Dependent Data in Mobile Database

机译:使用PR-Tree和HPIR管理移动数据库中位置相关数据的语义缓存的一致性

获取原文

摘要

Location dependent data (LDD) is the data whose value is determined by the location to which it is related. In LDD system, caching is a crucial way to improve the performance because a new query can be partially answered locally when the client is continuously moving around. Semantic caching has been paid much attention in traditional database systems. However, the methods of semantic cache management proposed in those systems are not suitable for mobile computing environment. Moreover, although many improved semantic caching strategies for mobile computing application have been proposed in recent years, few papers discussed semantic cache coherence control, which is very important in mobile computing environment. In this paper, we propose PR-tree and HPIR based algorithm, which can significantly reduce the unnecessary uplink requests and downlink broadcasts compared to previous PIR based schemes. Simulation experiments are carried out to evaluate the proposed strategy.
机译:位置相关数据(LDD)是其值由与其相关的位置确定的数据。在LDD系统中,缓存是提高性能的关键方法,因为当客户端不断移动时,可以局部本地回答新查询。语义缓存已在传统数据库系统中引起了很多关注。但是,那些系统中提出的语义高速缓存管理方法不适用于移动计算环境。而且,尽管近年来已经提出了许多改进的用于移动计算应用的语义高速缓存策略,但是很少有论文讨论了语义高速缓存的一致性控制,这在移动计算环境中是非常重要的。在本文中,我们提出了基于PR树和基于HPIR的算法,与以前的基于PIR的方案相比,该算法可以显着减少不必要的上行请求和下行广播。仿真实验进行了评估所提出的策略。

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