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| Content Provider | ACM Digital Library |
|---|---|
| Author | Li, Harry Huan Guz, Zvika Balakrishnan, Vijay Shayesteh, Anahita |
| Abstract | Storage disaggregation separates compute and storage to different nodes in order to allow for independent resource scaling and thus, better hardware resource utilization. While disaggregation of hard-drives storage is a common practice, NVMe-SSD (i.e., PCIe-based SSD) disaggregation is considered more challenging. This is because SSDs are significantly faster than hard drives, so the latency overheads (due to both network and CPU processing) as well as the extra compute cycles needed for the offloading stack become much more pronounced. In this work we characterize the overheads of NVMe-SSD disaggregation. We show that NVMe-over-Fabrics (NVMf) - a recently-released remote storage protocol specification - reduces the overheads of remote access to a bare minimum, thus greatly increasing the cost-efficiency of Flash disaggregation. Specifically, while recent work showed that SSD storage disaggregation via iSCSI degrades application-level throughput by 20%, we report on negligible performance degradation with NVMf - both when using stress-tests as well as with a more-realistic KV-store workload. |
| Starting Page | 1 |
| Ending Page | 9 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781450350358 |
| DOI | 10.1145/3078468.3078483 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-05-22 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Performance characterization Network storage Nvme-over-fabrics |
| Content Type | Text |
| Resource Type | Article |
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