Name
Abstract | ||
|---|---|---|
BSTRACTLow-latency I/O services are essential for latency-sensitive workloads when they co-run with throughput-oriented workloads in cloud data centers. Although advanced SSDs such as Intel Optane SSDs can offer ultra-low latency at the device layer, I/O interference among various workloads through the I/O stack can still significantly enlarge I/O latency. It is still an open problem to best utilize ultra-low latency SSDs in cloud computing environments. In this paper, we analyze the entire I/O stack and reveal that I/O interference is mainly attributed to resource contention in the SSD device, transactions commit in the file system, and costly process scheduling. To address these problems, we propose FastResponse, a holistic approach to use ultra-low latency SSDs for latency-sensitive workloads. First, we propose a new I/O scheduler at the block layer to throttle I/O requests of throughput-oriented workloads, and thus reduce the resource contention in the SSD device. Second, we develop a fine-grained journaling scheme to reduce the latency of transaction at the file system layer. Third, we redesign Completely Fair Scheduler (CFS) to promote the priority of latency-sensitive processes. We implement FastResponse in Linux kernel and evaluate it with several mixed workloads. Compared with the vanilla Linux and the state-of-the-art SelectISR, FastResponse can reduce the average response time of latency-sensitive workloads by 18--70% and 10--67%, respectively, and reduce the 99.9th percentile response time by 58--80% and 52--78%, respectively. Meanwhile, the performance degradation for throughput-oriented workloads is less than 6%. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1145/3524059.3532378 | International Conference on Supercomputing |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| m liu | 1 | 0 | 0.34 |
| Chi Harold Liu | 2 | 1091 | 72.90 |
| Y Chaohui | 3 | 24 | 3.21 |
| Xiaofei Liao | 4 | 1145 | 120.57 |
| Hai Jin | 5 | 6544 | 644.63 |
| Yanyong Zhang | 6 | 3116 | 184.08 |
| Yahong Rosa Zheng | 7 | 885 | 76.15 |
| l hu | 8 | 0 | 0.34 |