Xpass: NUMA-aware Persistent Memory Disaggregation

Jaeyoun Nam, Hokeun Cha, ByeongKeon Lee, Beomseok Nam

http://doi.org/10.5626/JOK.2021.48.7.735

The disaggregation method is used for efficient resource management in large-scale data centers, where each server consists of NUMA nodes. In the NUMA architecture, the latency difference between the remote and local access is known to be significant. In particular, remote NUMA access to persistent memory is even higher than DRAM. In this study, we propose Xpass, a memory disaggregation framework that considers the locality of NUMA architecture in a persistent memory disaggregation system. Xpass uses the dynamic hash table - CCEH to manage cached pages, and proposes a segment split algorithm that considers load balancing between the NUMA nodes in a NUMA environment.