分布式时空数据库去中心化负载均衡方法  

Decentralized Load Balancing Method for Distributed Spatio-temporal Database

作　　者：胡珂 李成名[1] 沈建明[1] HU Ke;LI Chengming;SHEN Jianming(Chinese Academy of Surveying &Mapping,Beijing100036,China;Jiangsu Geologic Surveying and Mapping Institute,Nanjing 211100,China)

机构地区：[1]中国测绘科学研究院,北京100036 [2]江苏省地质测绘院,江苏南京211100

出　　处：《测绘通报》2018年第12期65-68,128,共5页Bulletin of Surveying and Mapping

基　　金：基础测绘项目(A1705);中国测绘科学研究院基本科研业务费(7771709)

摘　　要：目前,分布式时空数据库已经成为主流的时空数据存储方式,是存储多源异构数据和海量时空数据的必需手段,但是,在数据存储时存在着海量数据存储困难及多用户高并发读写能力有待提升的问题。负载均衡是解决上述难题的重要方法之一,因此一直是分布式存储技术中的研究热点。本文首次提出将环状模型应用在存储的时空数据中,实现动态管理,在多用户高并发的情况下,可以实现各个分布式节点的负载均衡。Currently,distributed spatio-temporal database has become the mainstream measures of spatio-temporal data storage,and it is the essential method to store multi-source heterogeneous data and massive spatio-temporal data.However,when using distributed spatio-temporal database to store data,there is a problem of mass data storage and multi-user and high concurrent literacy.Therefore, the implementation of load balancing has always been a hot research topic in distributed storage technology.In this paper,the annular model is applied to the stored spatio-temporal data for the first time.This method can dynamically manage spatio-temporal data and achieve load balancing among distributed nodes in the case of high concurrency of multi-user.

关 键 词：分布式时空数据库 负载均衡 环状模型 

分 类 号：P208[天文地球—地图制图学与地理信息工程]