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Exploiting Peak Device Throughput from Random Access Workload
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Young Jin Yu, Seoul National University; Dong In Shin, Taejin Infotec, Korea; Woong Shin, Nae Young Song, Hyeonsang Eom, and Heon Young Yeom, Seoul National University
In this work, we propose a new batching scheme called temporal merge, which dispatches discontiguous block requests using a single I/O operation. It overcomes the disadvantages of narrow block interface and enables an OS to exploit peak throughput of a storage device for small random requests as well as a single large request. Temporal merge significantly enhances device and channel utilization regardless of access sequentiality of a workload, which has not been achievable by traditional schemes.
We extended the block I/O interface of a DRAM-based SSD in cooperation with its vendor, and implemented temporal merge into I/O subsystem in Linux 2.6.32. The experimental results show that under multi-threaded random access workload, the proposed solution can achieve 87%∼100% of peak throughput of the SSD. We expect that the new temporal merge interface will lead to better design of future host controller interfaces such as NVMHCI for next-generation storage devices.
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title = {Exploiting Peak Device Throughput from Random Access Workload},
booktitle = {4th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage 12)},
year = {2012},
address = {Boston, MA},
url = {https://www.usenix.org/conference/hotstorage12/workshop-program/presentation/Yu},
publisher = {USENIX Association},
month = jun
}
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