TSYS School Computer Scientist Yi Zhou Publishes Research on Optimizing System Longevity and Performance
New research by TSYS School computer scientist Yi Zhou and his colleagues Hui Sun of Anhui University, Yajie Deng of Northwestern Polytechnical University, and Xiao Qin of Auburn University explains that persistent memory (PM) bridges the latency and cost gap between dynamic random access memory (DRAM) and solid-state drives (SSD). As these researchers add, within the DRAM–PM–SSD hierarchy, deploying key-value-separated key-value stores (KV-separated stores) is imperative for optimizing system longevity and performance. This architecture mitigates SSD write amplification and preserves PM endurance by minimizing writes. According to Zhou et al., existing KV-separated stores in the DRAM-SSD architecture, however, fail to fully exploit this three-tier hierarchy due to three issues. First, LSM-tree indexes incur high read amplification on PM. While learned indexes offer faster reads, they suffer from severe write-read asymmetry that can undermine overall efficiency in write-intensive work...