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High throughput database structures for location management in PCS networks

机译:用于PCS网络中位置管理的高吞吐量数据库结构

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This paper introduces a distributed hierarchical database architecture for location management in global personal communications system (PCS) networks with the location-independent numbering plan. The proposed structure consists of a number of database subsystems, each of which is a three-level tree structure and is connected to the others only through its root. Due to the localized nature of calling and mobility patterns, this scheme effectively reduces the database loads and signaling traffic incurred by the location update and call delivery procedures. Moreover, based on the flat numbering plan, two memory-resident access structures-the memory-resident direct file and the T-tree are proposed for the location databases to further improve the database throughput. Analytical models and numerical examples are presented to evaluate the response time and the storage capacity required for each location database. Results show that our method can produce a high-throughput database system, which is crucial for the deployment of high-capacity PCS systems in the future. In addition, modifications to the data structure, the insert algorithm, and the delete algorithm for the T-tree are proposed to enhance the performance of the T-tree.
机译:本文介绍了具有位置无关编号方案的全球个人通信系统(PCS)网络中用于位置管理的分布式分层数据库体系结构。提议的结构由许多数据库子系统组成,每个子系统都是三级树结构,仅通过其根与其他子系统连接。由于呼叫和移动性模式的本地化性质,此方案有效地减少了由位置更新和呼叫传递过程引起的数据库负载和信令流量。此外,根据统一编号方案,为位置数据库提出了两个驻留内存的访问结构,即驻留内存的直接文件和T树,以进一步提高数据库的吞吐量。给出了分析模型和数值示例,以评估每个位置数据库所需的响应时间和存储容量。结果表明,我们的方法可以产生高吞吐量的数据库系统,这对于将来部署大容量的PCS系统至关重要。另外,提出了对数据结构的修改,对T树的插入算法和删除算法的改进,以提高T树的性能。

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