无线传感器网络的HBase数据存储模型性能分析  

Performance Analysis of HBase Data Storage Model Based on Wireless Sensor Networks

作　　者：郑羽 陈广柱 胡积宝 ZHENG Yu;CHEN Guangzhu;HU Jibao(School of Economics and Management,Anqing Normal University,Anqing 246011,China;Traffic Police Detachment of Anhui Chizhou Public Security Bureau,Chizhou 247100,China;School of Mathematics and Physics,Anqing Normal University,Anqing 246011,China)

机构地区：[1]安庆师范大学经济与管理学院,安徽安庆246133 [2]池州交警支队,安徽池州247100 [3]安庆师范大学数理学院,安徽安庆246133

出　　处：《安庆师范大学学报（自然科学版）》2021年第1期49-53,共5页Journal of Anqing Normal University(Natural Science Edition)

基　　金：安徽省高校自然科学研究重点项目(KJ2016A430,KJ2019A0578)。

摘　　要：基于HBase数据存储结构的特点,设计了一个有效的实时存储模型,实时的数据流在集群数据库中存储速度更快,满足了用户对数据存储性能的多种需求。使用可拓学原语整合存储在HBase数据库中的异构数据集,存储管理目录研究双层分布式存储架构,提高了存储和访问的效率。研究了在存储空间不够或者集群文本系统的存储空间太大的情况下,HBase数据库集群如何动态地更新或优化数据库空间。仿真结果表明,简单的动态更新HBase数据库集群有助于优化数据库空间使用。Based on the structure feature of Hbase data,an efficient real-time storage model is designed.The speed of storage of real-time flow data is faster in cluster database and it will satisfy various needs of consumers for the capability of data storage.Extension primitives are used to integrate heterogeneous data-sets stored in the HBase database,and the double layer distributed storage architecture is studied by storage management catalogs to raise the efficiency of storage and visit.This article analyses also shows how the HBase database cluster dynamically updates or optimizes the database space when the storage space is insufficient or the storage space of database cluster is too large.The simulation shows that simple dynamic update of the HBase data cluster can be helpful to optimize the use of database space.

关 键 词：无线传感器网络 HBASE 集群 实时存储 HADOOP 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]