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.