Study on I/O response time bounds of network storage systems
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 mod...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2006-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74665846/ |
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| _version_ | 1841537338673463296 |
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| author | CUI Bao-jiang1 LIU Jun2 WANG Gang2 LIU Jing2 |
| author_facet | CUI Bao-jiang1 LIU Jun2 WANG Gang2 LIU Jing2 |
| author_sort | CUI Bao-jiang1 |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-1f6837faee8a405e9adbe21cc27e0eb2 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2006-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-1f6837faee8a405e9adbe21cc27e0eb22025-01-14T08:39:23ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2006-01-01697474665846Study on I/O response time bounds of network storage systemsCUI Bao-jiang1LIU Jun2WANG Gang2LIU Jing2In 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.http://www.joconline.com.cn/zh/article/74665846/networked storageperformance modelingqueuing networksI/O response time |
| spellingShingle | CUI Bao-jiang1 LIU Jun2 WANG Gang2 LIU Jing2 Study on I/O response time bounds of network storage systems Tongxin xuebao networked storage performance modeling queuing networks I/O response time |
| title | Study on I/O response time bounds of network storage systems |
| title_full | Study on I/O response time bounds of network storage systems |
| title_fullStr | Study on I/O response time bounds of network storage systems |
| title_full_unstemmed | Study on I/O response time bounds of network storage systems |
| title_short | Study on I/O response time bounds of network storage systems |
| title_sort | study on i o response time bounds of network storage systems |
| topic | networked storage performance modeling queuing networks I/O response time |
| url | http://www.joconline.com.cn/zh/article/74665846/ |
| work_keys_str_mv | AT cuibaojiang1 studyonioresponsetimeboundsofnetworkstoragesystems AT liujun2 studyonioresponsetimeboundsofnetworkstoragesystems AT wanggang2 studyonioresponsetimeboundsofnetworkstoragesystems AT liujing2 studyonioresponsetimeboundsofnetworkstoragesystems |