Abstract-Flash-based solid state disks (SSDs) are an alternative form of storage device that promises to deliver higher performance than the traditional mechanically rotating hard drives. While SSDs have seen utilization in embedded, consumer, and server computer systems, there has been little understanding of its performance effects with scientific I/O workloads. This paper provides a trace driven performance evaluation of scientific I/O workloads on SSDs. We find that SSDs only provide modest performance gains over mechanical hard drives due to the writeintensive nature of many scientific workloads. Other workloads (like read-mostly web servers) would likely see much larger gains. Additionally, we observe that the concurrent I/O (when multiple parallel processes simultaneously access a single storage device) may significantly affect the SSD performance. However, such effects appear to be dependent on specific SSD implementation features and they are hard to predict in a general fashion. These results suggest that abundant cautions are needed when supporting high-performance scientific I/O workloads on Flashbased SSDs.
Park et al. REF evaluated the performance effects of SSDs on scientific I/O workloads and they used workloads with large I/O requests.
A performance evaluation of scientific I/O workloads on Flash-based SSDs
2009 IEEE International Conference on Cluster Computing and Workshops
2009 IEEE International Conference on Cluster Computing and Workshops
Computer Science