关键词: 非易失内存, 数据管理, 模式数据, 气象

Abstract: 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.

Key words: non-volatile memory (NVM), data management, model data, meteorology