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| 网络存储系统I/O响应时间边界性能研究 | |
| 引用本文： | 崔宝江,刘军,王刚,刘璟. 网络存储系统I/O响应时间边界性能研究[J]. 通信学报, 2006, 27(1): 69-74 |
| 作者姓名： | 崔宝江 刘军 王刚 刘璟 |
| 作者单位： | 1. 北京邮电大学,信息安全中心,北京,100876 2. 南开大学,计算机科学系,天津,300071;天津财经大学,信息系,天津,300222 3. 南开大学,计算机科学系,天津,300071 |
| 基金项目： | 中国科学院资助项目;广东省博士启动基金;天津市科技发展基金 |
| 摘 要： | 为了对网络存储系统性能进行预测和改进,利用定量分析法研究了系统I/O响应时间与各性能影响因素之间的关系。通过分析网络RAID存储系统的数据传输原理,建立了该系统的闭合排队网络模型,并研究了其I/O响应时间的性能边界。实验表明,理论性能边界反映了实际系统性能的变化趋势和性能边界。进一步分析发现,当并发任务数较低时,存储中心服务器CPU处理能力和缓冲区命中率是影响I/O响应时间的关键因素。 |
| 关 键 词： | 网络存储 性能建模 排队网络 I/O响应时间 |
| 文章编号： | 1000-436X（2006）01-0069-06 |
| 收稿时间： | 2005-10-10 |
| 修稿时间： | 2005-11-10 |
Study on I/O response time bounds of network storage systems |
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| CUI Bao-jiang,LIU Jun,WANG Gang,LIU Jing. Study on I/O response time bounds of network storage systems[J]. Journal on Communications, 2006, 27(1): 69-74 | |
| Authors: | CUI Bao-jiang LIU Jun WANG Gang LIU Jing |
| Affiliation: | 1. Information Security Centre, Beijing University of Posts and Telecommunications, Beijing 100876, China; 2. Dept. of Computer Science, Nankai University, Tianjin 300071, China; 3. Dept. of Information, Tianjin University of Finance and Economics, Tianjin 300222, China |
| Abstract: | In order to predict and improve the performance of networked storage systems,the relationship was explored between the system I/O response time and its performance factors by quantitative analytical method.Through analyzing data flow in networked RAID storage system,we established its analytical model utilizing closed queuing networks and studied on performance bounds of the system I/O response time.Experimental results show that the theoretical bounds are found to be in agreement with the actual performance bounds of the networked RAID storage system and reflect the dynamic trend of its actual performance.Furthermore,we conclude that the CPU processing power and cache hit rate of the server at the storage center are the key factors affecting the I/O response time,as the concurrent jobs are lower. |
| Keywords: | networked storage performance modeling queuing networks I/O response time |
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