摘要
Without any additional cost, all the disks on the nodes of a cluster can be connected together through CEFT-PVFS, an RAID-10 style parallel file system, to provide a multi-GB/s parallel I/O performance. I/O response time is one of the most important measures of quality of service for a client. When multiple clients submit data-intensive jobs at the same time, the response time experienced by the user is an indicator of the power of the cluster. In this paper, a queuing model is used to analyze in detail the average response time when multiple clients access CEFT-PVFS. The results reveal that response time is with a function of several operational parameters. The results show that I/O response time decreases with the increases in I/O buffer hit rate for read requests, write buffer size for write requests and the number of server nodes in the parallel file system, while the higher the I/O requests arrival rate, the longer the I/O response time. On the other hand, the collective power of a large cluster supported by CEFT-PVFS is shown to be able to sustain a steady and stable I/O response time for a relatively large range of the request arrival rate. Keywords PVFS - parallel I/O - I/O response time This work is supported by the National Natural Science Foundation of China (Grant No.60273074), the Special Foundation for National Excellent Ph.D. Thesis, and Huo YingDong Education Foundation (Grant No.91068).Dan Feng is a professor of College of Computer Science at Huazhong University of Science and Technology (HUST), China. She obtained the Ph.D. degree from HUST in 1997. Her current interests are computer architecture, redundant array independent disks, mass storage, and information technology.Hong Jiang is an associate professor of Department of Computer Science and Engineering at University of Nebraska-Lincoln, Lincoln, Nebraska. He obtained the Ph.D. degree from Texas A&M University in 1991. His current interests are computer architecture, parallel I/O, parallel and distributed processing, performance evaluation and real-time systems.Yi-Feng Zhu is a Ph.D. candidate of Department of Computer Science and Engineering at University of Nebraska-Lincoln, Lincoln, Nebraska. He obtained the M.S. degree from University of Nebraska-Lincoln in 2002. His research interests cover computer architecture, network storage, parallel I/O and cluster computing.
Without any additional cost, all the disks on the nodes of a cluster can be connected together through CEFT-PVFS, an RAID-10 style parallel file system, to provide a multi-GB/s parallel I/O performance. I/O response time is one of the most important measures of quality of service for a client. When multiple clients submit data-intensive jobs at the same time, the response time experienced by the user is an indicator of the power of the cluster. In this paper, a queuing model is used to analyze in detail the average response time when multiple clients access CEFT-PVFS. The results reveal that response time is with a function of several operational parameters. The results show that I/O response time decreases with the increases in I/O buffer hit rate for read requests, write buffer size for write requests and the number of server nodes in the parallel file system, while the higher the I/O requests arrival rate, the longer the I/O response time. On the other hand, the collective power of a large cluster supported by CEFT-PVFS is shown to be able to sustain a steady and stable I/O response time for a relatively large range of the request arrival rate. Keywords PVFS - parallel I/O - I/O response time This work is supported by the National Natural Science Foundation of China (Grant No.60273074), the Special Foundation for National Excellent Ph.D. Thesis, and Huo YingDong Education Foundation (Grant No.91068).Dan Feng is a professor of College of Computer Science at Huazhong University of Science and Technology (HUST), China. She obtained the Ph.D. degree from HUST in 1997. Her current interests are computer architecture, redundant array independent disks, mass storage, and information technology.Hong Jiang is an associate professor of Department of Computer Science and Engineering at University of Nebraska-Lincoln, Lincoln, Nebraska. He obtained the Ph.D. degree from Texas A&M University in 1991. His current interests are computer architecture, parallel I/O, parallel and distributed processing, performance evaluation and real-time systems.Yi-Feng Zhu is a Ph.D. candidate of Department of Computer Science and Engineering at University of Nebraska-Lincoln, Lincoln, Nebraska. He obtained the M.S. degree from University of Nebraska-Lincoln in 2002. His research interests cover computer architecture, network storage, parallel I/O and cluster computing.
基金
国家自然科学基金，the Special Foundation for National Excellent Ph.D. Thesis, and Huo YingDong Education Foundation
