About Me
Hello! I’m Arjun, a second year Ph.D. student in the Computer Science department at University of California, Merced. My advisor is Prof. Xiaoyi Lu and my research interests include Virtualization, Cloud Computing, and Storage. Previously (2019-2020), I was a Ph.D. student at the Ohio State University (OSU). The current projects that I am part of are on storage disaggregation and persistent memory.
News
| 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
[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]