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
| 03/29/2022 | Our paper NVMe-oAF: Towards Adaptive NVMe-oF for IO-Intensive Workloads on HPC Cloud will appear in HPDC'22. |
| 03/29/2021 | Our paper Towards Offloadable and Migratable Microservices on Disaggregated Architectures: Vision, Challenges, and Research Roadmap got accepted in WORDS'21 (co-located with ASPLOS'21). |
| 12/1/2020 | Our work "Understanding the Idiosyncrasies of Real Persistent Memory" will appear in VLDB'21. |
| 9/21/2020 | Our 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
[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][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][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][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]