Abstract
We propose Vigil-KV, a hardware and software co-designed framework that eliminates long-tail latency almost perfectly by introducing strong latency determinism. To make Get latency deterministic, Vigil-KV first enables a predictable latency mode (PLM) interface on a real datacenter-scale NVMe SSD, having knowledge about the nature of the underlying flash technologies. Vigil-KV at the system-level then hides the non-deterministic time window (associated with SSD's internal tasks and/or write services) by internally scheduling the different device states of PLM across multiple physical functions. Vigil-KV further schedules compaction/flush operations and client requests being aware of PLM's restrictions thereby integrating strong latency determinism into LSM KVs. We implement Vigil-KV upon a 1.92TB NVMe SSD prototype and Linux 4.19.91, but other LSM KVs can adopt its concept. We evaluate diverse Facebook and Yahoo scenarios with Vigil-KV, and the results show that Vigil-KV can reduce the tail latency of a baseline KV system by 3.19× while reducing the average latency by 34%, on average.
Original language | English |
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Title of host publication | Proceedings of the 2022 USENIX Annual Technical Conference, ATC 2022 |
Publisher | USENIX Association |
Pages | 755-771 |
Number of pages | 17 |
ISBN (Electronic) | 9781939133298 |
Publication status | Published - 2022 |
Event | 2022 USENIX Annual Technical Conference, ATC 2022 - Carlsbad, United States Duration: 2022 Jul 11 → 2022 Jul 13 |
Publication series
Name | Proceedings of the 2022 USENIX Annual Technical Conference, ATC 2022 |
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Conference
Conference | 2022 USENIX Annual Technical Conference, ATC 2022 |
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Country/Territory | United States |
City | Carlsbad |
Period | 22/7/11 → 22/7/13 |
Bibliographical note
Publisher Copyright:© 2022 USENIX Annual Technical Conference, ATC 2022.All rights reserved.
All Science Journal Classification (ASJC) codes
- Computer Science(all)