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。
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.
出处
《通信学报》
EI
CSCD
北大核心
2006年第1期69-74,共6页
Journal on Communications
基金
国家自然科学基金资助项目(60273031)
高校博士点科研基金资助项目(20020055021)
天津市科技发展计划重点基金资助项目(043800311)~~
关键词
网络存储
性能建模
排队网络
I/O响应时间
networked storage
performance modeling
queuing networks
I/O response time
