Abstract：On the premise of not affecting the HDFS decentralized storage structure, the dynamic copy storage and galohua finite field theory was combined to optimize the calculation and calculation mode of van der Monde code, so that the time cost and the memory pressure of the coding and decoding were reduced. About 35% storage costs of HDFS were saved, and the balance ability of the node load and decoding efficiency of the HDFS system were improved. This algorithm is more suitable for the process of medical professional documents, and meets clinical research needs and data supply. It can save the storage capacity, can accommodate the increasing and more complex medical data, can reduce the cost of hardware server, save the capital cost for the hospital, quickly query and obtain the effective data in the data pool, make the lying data live, and give full play to their clinical use value and scientific research value. This complete and systematic optimization plan provides an effective way for the development of HDFS in the future.
杨莲, 郭良君, 马磊, 王圣芳. 大数据环境下hadoop分布式文件系统分散式动态副本存储优化策略研究[J]. 中国医院统计, 2019, 26(1): 75-78.
Yang Lian, Guo Liangjun, Ma Lei, Wang Shengfang. Research on HDFS decentralized dynamic replica storage optimization strategy in big data environment. journal1, 2019, 26(1): 75-78.
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