【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。更多还原

【Abstract】 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 5Vproperties of big data,main challenges at these aspects of data management and processing faced 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.更多还原