海量GNSS数据分布式存储与计算方法  

Distributed Storage and Computing Method of Massive GNSS Data

作　　者：李林阳[1] 张友阳[2] 李滨 倪祖斌 周海涛 

机构地区：[1]信息工程大学地理空间信息学院,郑州450052 [2]郑州轻工业学院机电工程学院,郑州450002 [3]广州军区测绘信息中心,广州510515 [4]沈阳军区测绘信息中心,沈阳110000

出　　处：《导航定位学报》2015年第4期62-68,共7页Journal of Navigation and Positioning

基　　金：国家自然科学基金资助项目(41274015);国家863计划资助项目(2013AA122501);地理信息工程国家重点实验室开放基金(SKLGIE2014-M-1-5;SKLGIE2014-M-1-6);信息工程大学地理空间信息学院硕士学位论文创新与创优基金(XS201501)

摘　　要：大数据时代对GNSS提出了诸多挑战,如海量、多源、异构数据的存储与管理、处理与分析等,GNSS必须做出相应的调整和改变。针对大数据具有的"海量、快速、多样、精确及价值"特性,分析了GNSS在数据管理和处理上面临的主要挑战,从分布式存储、计算的角度给出了解决问题的有效策略和可行方案,提出了基于分布式存储与计算技术的GNSS数据管理与处理平台架构,突破了传统集中式存储与计算的限制,结果表明该方法能够实现GNSS数据的高效管理和处理。GNSS is faced with many challenges in the age of big data, such as the storage, management, processing and analysis of GNSS data with the characteristic of volume, variety and heterogeneous. Thus, corresponding adjustments and changes have to be made. Based on the 5V properties of big data, main challenges at these aspects of data management and processing /aced by GNSS are analyzed, effective strategies and feasible solutions are given from these aspects of distributed storage and computing. Finally the GNSS data management and processing platform architecture based on distributed storage and computing is advanced, the bottleneck of traditional centralized storage and computing is broken through simultaneously. The result shows that the method can achieve efficient management and processing of GNSS data.

关 键 词：全球卫星导航系统 大数据 分布式存储 分布式计算 

分 类 号：P228[天文地球—大地测量学与测量工程]