关键词: Hadoop分布式文件系统（HDFS）, 分布式集群, 负载均衡, 眼科医疗, 影像文件存取

Abstract:  In Hadoop Distributed File System（HDFS）, the imbalance of load distribution has become the bottleneck for the speed of distributed access. Based on the status quo of load in the current hospital information system, the multi-attribute dual-threshold dynamic load balancing algorithm is proposed to improve the defect of only using the initial and default load balancing strategy. Under the different environmental circumstances, the same size of ophthalmic medical image file is tested in the HDFS cluster, leading to the conclusion that the load balance of multi-attribute and dual-threshold is more conducive to make the average allocation of the load of large amount of image data to the each node in the cluster and maintain the dynamic balance in the process of file access, therefore improves the efficiency and distributed processing performance of the cluster.

Key words: Hadoop Distributed File System（HDFS）, distributed cluster, load balancing, ophthalmology medical, image file access