FAST '23 - ROLEX: A Scalable RDMA-oriented Learned Key-Value Store for Disaggregated Memory Systems

ROLEX: A Scalable RDMA-oriented Learned Key-Value Store for Disaggregated Memory Systems

Pengfei Li, Yu Hua, Pengfei Zuo, Zhangyu Chen, and Jiajie Sheng, Huazhong University of Science and Technology

Awarded Best Paper!

Disaggregated memory systems separate monolithic servers into different components, including compute and memory nodes, to enjoy the benefits of high resource utilization, flexible hardware scalability, and efficient data sharing. By exploiting the high-performance RDMA (Remote Direct Memory Access), the compute nodes directly access the remote memory pool without involving …

benefits chen compute data data sharing exploiting fast hardware high key memory nodes performance scalability science servers sharing store systems technology university value