LPNS - Scalable and Latency-Predictable Local Storage Virtualization for Unpredictable NVMe SSDs in Clouds

Explore a 23-minute conference talk from USENIX ATC '23 that introduces LPNS, a novel local storage virtualization system designed to provide scalable and latency-predictable performance for unpredictable NVMe SSDs in cloud environments. Delve into the challenges of achieving latency predictability in public clouds and learn how LPNS addresses device-level interference between multi-tenant virtualized devices. Discover the innovative features of LPNS, including reliable self-feedback control, flexible I/O queue and command scheduling, and scalable polling design. Examine the deterministic network calculus-based formalization method used to establish upper bounds for virtualized device latency. Gain insights into LPNS's performance improvements, including up to 18.72× latency optimization compared to mainstream NVMe virtualization and up to 1.45× additional throughput over state-of-the-art storage latency control systems. Presented by researchers from Shanghai Jiao Tong University, this talk offers valuable insights for cloud storage professionals and researchers interested in advancing storage virtualization techniques.

USENIX ATC '23 - LPNS: Scalable and Latency-Predictable Local Storage Virtualization for...