基于非易失混合内存的高速气象数据管理系统设计  

A high-speed meteorology data management system based on non-volatile memory

作　　者：陈超[1] 顾青峰[1] CHEN Chao;GU Qing-feng(Institute for Development and Programme Design,China Meteorological Administration,Beijing 100081,China)

机构地区：[1]中国气象局气象发展与规划院,北京100081

出　　处：《计算机工程与科学》2023年第11期1922-1928,共7页Computer Engineering & Science

基　　金：国家自然科学基金(61972275)。

摘　　要：气象数据是典型的大数据,具有规模大、增速快和类型复杂等特点,而且气象模式数据由高性能计算机不断计算产生,同时也面临天气预报等气象业务的多种复杂查询,因此气象模式数据管理面临严峻的空间和性能挑战。非易失内存(NVM)是近年来应用的新型存储介质,具有性能高、存储密度高和非易失等优势,但同时也具有很多特殊的硬件特性,需要进行软件协同设计才能充分发挥其性能优势。因此,以非易失内存的硬件特征为出发点,设计了一种高速气象数据管理系统,相对于目前的内存数据管理系统,性能增幅为114.2%,且同时具有更大的存储容量和更低的单位容量成本。As typical big data,meteorological data have the characteristics of large scale,fast growth,and complex types.Among them,the meteorological model data are continuously generated by high-performance computers,and they are also faced with various complex queries of meteorological services such as weather forecasts.Therefore,the management of meteorological model data faces severe space and performance challenges.Non-volatile memory(NVM)is a new emerging type of storage medium that is practically applied in recent years.NVM has the advantages of high performance,high storage density,and non-volatility.However,it also has many special hardware characteristics,which requires software-hardware co-design to leverage its performance advantage.Therefore,based on the hardware characteristics of NVM,a high-speed meteorological data management system is designed.It has 114.2%higher performance than the current memory data management system,and it has larger storage capacity and lower cost per byte at the same time.

关 键 词：非易失内存 数据管理 模式数据 气象 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]