Youngbin Jin | Staff Engineer
Solidigm
Youngbin Jin, Ph.D., is a Staff Engineer at Solidigm, specializing in datacenter SSD competitive analysis, performance evaluation, and storage virtualization technologies. He holds a Ph.D. in Electrical and Computer Engineering from Oregon State University, an M.S. in Electrical Engineering from the University of Texas at Dallas, and a B.S. in Electrical Engineering from Washington State University. With over 10 years of experience in SSD architecture and NAND flash memory, Dr. Jin has architected industry-first testing methodologies for next-generation SSD technologies including SR-IOV, ZNS, and FDP. He has led SR-IOV testing and evaluation efforts since 2021, designing comprehensive benchmarking frameworks for Gen5 NVMe SSDs in multi-VM virtualized environments. His work on SSD I/O virtualization earned him multiple Excellence Awards at Solidigm. Dr. Jin's research interests span computer architecture, storage systems, and AI workload characterization for datacenter storage.
Appearances:
Future of Memory and Storage - Day 3 @ 13:20
A Testing Methodology for NVMe SR-IOV SSD Virtualization
As data centers increasingly rely on NVMe SSDs in virtualized and multi-tenant environments, the choice between SR-IOV (Single Root I/O Virtualization) and software-based virtualization significantly impacts storage performance. Despite SR-IOV's potential to deliver near-native I/O performance by enabling direct hardware-level access from virtual machines, there is a notable absence of standardized testing methodologies and publicly available performance data for SR-IOV-enabled SSDs.This presentation addresses that gap by introducing a comprehensive testing methodology for evaluating SR-IOV performance on NVMe SSDs. We present a systematic comparison between SR-IOV and software virtualization approaches, demonstrating measurable performance advantages of SR-IOV in key metrics including IOPS, latency, and throughput across various workload profiles. Our methodology covers test environment setup, configuration parameters, workload generation, and result analysis procedures.Attendees will gain a clear understanding of SR-IOV benefits for NVMe storage, a replicable testing framework, and data-driven insights to guide virtualization strategy decisions for their storage infrastructure.
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