Short Bio

Hello! I’m Arjun, a Ph.D. student in the Computer Science department at The The University of California, Merced. My advisor is Prof. Xiaoyi Lu. Previously (2019-2020), I was a Ph.D. student at the Ohio State University (OSU). I got my M.S. degree from University of Wisconsin-Madison, Madison, WI, USA

Research Interests

My research interests include Virtualization, Cloud Computing, and Storage. The current projects that I am part of are on storage disaggregation and persistent memory.

Publications

• [IEEE Micro'24] Compression Analysis for BlueField-2/3 Data Processing Units: Lossy and Lossless Perspectives
• [IPDPS '24] Accelerating Lossy and Lossless Compression on Emerging BlueField DPU Architectures
• [IPDPS '24] NVMe-oPF: Designing Efficient Priority Schemes for NVMe-over-Fabrics with Multi-Tenancy Support
• [ModSim '23] Early Experiences in Modeling Performance Implications of DPU-Offloaded Computation
• [SC '23] An Early Case Study with Multi-Tenancy Support in SPDK’s NVMe-over-Fabric Designs
• [HotI '23] Characterizing Lossy and Lossless Compression on Emerging BlueField DPU Architectures
• [HPDC '22] NVMe-oAF: Towards Adaptive NVMe-oF for IO-Intensive Workloads on HPC Cloud
• [WORDS '21] Towards Offloadable and Migratable Microservices on Disaggregated Architectures: Vision, Challenges, and Research Roadmap
• [VLDB '21] Understanding the Idiosyncrasies of Real Persistent Memory
• [Bench '20] Impact of Commodity Networks on Storage Disaggregation with NVMe-oF