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Research on structured storage and index of data flow in disaster tolerance system

机译:容灾系统中数据流的结构化存储和索引研究

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Based on the problem that the storage of data flow lacks structure and the data retrieval speed is slow in some disaster tolerance systems, a structured data storage and high efficient data retrieval model is proposed in this paper. In this model, the circular queue structure is used in the dynamic shared memory buffer pool, which has improved the storage efficiency of real-time data flow; the circular queue data storage structure and an improved B+ tree index structure are used in the hard disk, which has solved the problem that how to store new data when the storage space is full, and improved the data retrieval efficiency in some degree. Test results show that this model has better data storage capacity and faster data retrieval speed.
机译:针对某些容灾系统中数据流的存储缺乏结构,数据检索速度慢的问题,提出了一种结构化的数据存储和高效的数据检索模型。该模型在动态共享内存缓冲池中使用了循环队列结构,提高了实时数据流的存储效率。硬盘采用了循环队列数据存储结构和改进的B +树索引结构,解决了存储空间满时如何存储新数据的问题,并在一定程度上提高了数据检索效率。测试结果表明,该模型具有更好的数据存储能力和更快的数据检索速度。

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