Medical picture archiving and communication system(PACS)is a typical application scenario with massive small files,which faces two challenges in data storage,i.e.,efficient metadata management and effective performance reduction caused by fragmentization.By analyzing various key components of the full IO(input/output)path in the medical PACS imaging system,this paper optimizes the design to achieve a significant improvement in the retrieval performance of the PACS from four dimensions,PACS software retrieval algorithm,storage protocol gateway high-concurrency design,small file aggregation,and data storage service concurrency model.The results of test show that the retrieval performance after optimizion can reach 300 images per second,which is more than three times that of traditional storage,and resolves effectively the performance problem of PACS image data retrieval.
关键词
海量小文件/PACS影像/分布式存储/性能优化
Key words
massive small files/picture archiving and communication system(PACS)image/distributed storage/performance optimization
维普
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