About Me

Hello! I’m Arjun, a third year Ph.D. student in the Computer Science department at University of California, Merced. I am fortunate to be advised by Prof. Xiaoyi Lu and my research interests include virtualization, cloud computing, and storage systems. Currently, I am working on projects related to storage disaggregation and persistent memory.

News

03/29/2022Our paper NVMe-oAF: Towards Adaptive NVMe-oF for IO-Intensive Workloads on HPC Cloud will appear in HPDC'22.
03/29/2021Our paper Towards Offloadable and Migratable Microservices on Disaggregated Architectures: Vision, Challenges, and Research Roadmap got accepted in WORDS'21 (co-located with ASPLOS'21).
12/1/2020Our work "Understanding the Idiosyncrasies of Real Persistent Memory" will appear in VLDB'21.
9/21/2020Our work "Impact of Commodity Networks on Storage Disaggregation with NVMe-oF" will appear in International Symposium on Benchmarking, Measuring and Optimizing (Bench'20) conference. We evaluated the performance of NVMe-oF over TCP, IPoIB, RoCE, and RDMA transports.

Publications

  1. [HPDC’22] NVMe-oAF: Towards Adaptive NVMe-oF for IO-Intensive Workloads on HPC Cloud
    Arjun Kashyap and Xiaoyi Lu
    International ACM Symposium on High Performance and Distributed Computing (HPDC’22), June 2022
    [Paper]

  2. [WORDS’21] Towards Offloadable and Migratable Microservices on Disaggregated Architectures: Vision, Challenges, and Research Roadmap
    Xiaoyi Lu and Arjun Kashyap
    The Second Workshop On Resource Disaggregation and Serverless (WORDS’21), April 2021
    [Paper]

  3. [VLDB’21] Understanding the Idiosyncrasies of Real Persistent Memory
    Shashank Gugnani, Arjun Kashyap, and Xiaoyi Lu
    International Conference on Very Large Data Bases (VLDB’21), Aug 2021
    [Paper] [Code]

  4. [Bench’20] Impact of Commodity Networks on Storage Disaggregation with NVMe-oF
    Arjun Kashyap, Shashank Gugnani, and Xiaoyi Lu
    International Symposium on Benchmarking, Measuring and Optimizing (Bench’20), Nov 2020
    [Paper] [Video]