Faster than Flash: An In-Depth Study of System Challenges for Emerging Ultra-Low Latency SSDs
Sungjoon Koh, Junhyeok Jang, Changrim Lee, Miryeong Kwon, Jie Zhang, and Myoungsoo Jung

TL;DR
This paper provides a comprehensive empirical analysis of ultra-low latency SSDs, evaluating I/O methods and system architectures to identify challenges and guide future system optimizations for emerging storage technologies.
Contribution
It offers the first quantitative study of ULL SSD behaviors, analyzing I/O completion methods, system resource usage, and real-world challenges in SPDK-enabled environments.
Findings
Polling I/O methods show different efficiencies depending on system parameters.
UL SSDs face significant challenges in resource management and system integration.
SPDK-based systems require careful tuning to fully leverage ULL SSD capabilities.
Abstract
Emerging storage systems with new flash exhibit ultra-low latency (ULL) that can address performance disparities between DRAM and conventional solid state drives (SSDs) in the memory hierarchy. Considering the advanced low-latency characteristics, different types of I/O completion methods (polling/hybrid) and storage stack architecture (SPDK) are proposed. While these new techniques are expected to take costly software interventions off the critical path in ULL-applied systems, unfortunately no study exists to quantitatively analyze system-level characteristics and challenges of combining such newly-introduced techniques with real ULL SSDs. In this work, we comprehensively perform empirical evaluations with 800GB ULL SSD prototypes and characterize ULL behaviors by considering a wide range of I/O path parameters, such as different queues and access patterns. We then analyze the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
