面向医疗健康大数据的存储系统容错策略优化研究  

Research on Fault Tolerant Strategy Optimization of Storage System for the Healthcare Big Data

作　　者：杨东日 陈跃[2] 刘姝祎 刘超[1] 

机构地区：[1]工业和信息化部软件与集成电路促进中心,北京100013 [2]西安交通大学,陕西西安710000

出　　处：《中国电子科学研究院学报》2017年第5期546-550,共5页Journal of China Academy of Electronics and Information Technology

摘　　要：从医疗健康大数据文件系统容错策略的优化出发,首先对医疗健康大数据的特点进行了分析,然后介绍了当前医疗健康大数据及其文件系统遇到的问题与面临的挑战,最后提出了面向医疗健康大数据存储的多机热备的元数据管理节点容错技术和块副本与基于纠删编解码算法相结合的存储节点容错技术的优化策略,提高了医疗健康大数据的云存储文件系统的可靠性和磁盘空间利用率。Based on the optimization of fault-tolerant strategy of healthcare big data file system,first of all,the characteristics of healthcare big data were analyzed,and then the problems and challenges of current healthcare big data and its file system are introduced. Finally,healthcare big data Storage of multimachine hot standby metadata management node fault-tolerant technology and block replicas based on error-correcting codec algorithms combined with storage node fault-tolerant technology for cloud storage optimization strategies that improve the reliability of healthcare big data storage for cloud storage file system and disk space utilization.

关 键 词：医疗健康大数据 容错 策略优化 副本复制 纠错码 

分 类 号：TP3-05[自动化与计算机技术—计算机科学与技术]