The emergence of Intel's Optane DC persistent memory (Optane Pmem) draws much
interest in building persistent key-value (KV) stores to take advantage of its high throughput …

Key-Value (KV) stores support many crucial applications and services. They perform fast in-
memory processing, but are still often limited by I/O performance. The recent emergence of …

Modern key-value stores typically rely on an LSM-tree in storage (SSD) to handle writes and
Bloom filters in memory (DRAM) to optimize reads. With ongoing advances in SSD …

Research on flash devices almost exclusively focuses on conventional SSDs, which expose
a block interface. Industry, however, has standardized and is adopting Zoned Namespaces …

Non-relational database systems (NRDS) such as graph and key-value have gained
attention in various trending business and analytical application domains. However, while …

Embedding-based retrieval (EBR) is widely used in recommendation systems to retrieve
thousands of relevant candidates from a large corpus with millions or more items. A good …

Optimizing LSM-based Key-Value Stores (LSM-KVS) for disaggregated storage is essential
to achieve better resource utilization, performance, and flexibility. Most of the existing studies …

Modern storage engines and key-value stores have come to rely on the log-structured
merge-tree (LSM-tree) as their core data structure. LSM-tree operates by gradually merge …

The learning-enhanced data structure has inspired the development of the range filter,
bringing significantly better false positive rate (FPR) than traditional non-learned range …

We design CrossFS, a cross-layered direct-access file system disaggregated across user-
level, firmware, and kernel layers for scaling I/O performance and improving concurrency …