Abstract: High energy physics computing is a typical data-intensive application,and the performance of data access throughput is critical to the computing system.The performance of data access is closely related to the computing model of application.This paper firstly analyzed the typical high energy physics computing models,and then summarized the characteristics of data access.Based on these characteristics,some optimization measures were proposed,including opera-ting system I/O scheduling policy,distributed file system cache configuration and so on.Data access performance and CPU utilization are improved significantly after optimization.Metadata management,data reliability,scalability and othermanageability functions are also important for large-scale storage system.Considering some shortcomings of existing Lustre parallel file system,this paper finally proposed Gluster storage system as a new solution for high energy physics.After tuning of some key factors,such as data management and scalability,the system has been put into use.It is de-monstrated that the data access performance with better scalability and reliability can meet the needs of high-energy physi-cs computing.

Key words: HPC,Mass storage system,Lustre,Gluster