Computer Science ›› 2017, Vol. 44 ›› Issue (10): 75-79, 90.doi: 10.11896/j.issn.1002-137X.2017.10.014

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Design and Optimization of Hybrid Storage System in HEP Environment

XU Qi, CHENG Yao-dong and CHEN Gang   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Computing in high energy physics (HEP) is a typical data-intensive application including simulation,reconstruction and physical analysis.Generally,the HEP experiment file is very big and the way of accessing to the files is usually skipping through large data blocks.Therefore,the performance of accessing to big files is one of decisive factors for the HEP computing system.Firstly,this paper analyzed the typical structure of the computing environment in high energy physics and the characters of accessing to files,introduced the advantages of hybrid storage system in high energy physics,summarized the characteristics of data access mode,evaluated the performance of different read/write mode,then proposed a new deployment model of hybrid storage system in high energy physics,which is proved to have higher I/O performance,at the same time the cost was considered to implement a high-performance system with low cost.The test result shows that the hybrid storage system has good performance in some fields such as HEP.Based on the analysis,it can help to get better I/O performance with lower price in High Energy Physics.At the last,the future of the hybrid storage system was analyzed.

Key words: Mass storage system,HEP,Hybrid storage system,Cache,Block device,HPC,Performance price ratio

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