There are now over 20 commercial vector database management systems (VDBMSs), all
produced within the past five years. But embedding-based retrieval has been studied for …

The emerging trend of memory disaggregation where CPU and memory are physically
separated from each other and are connected via ultra-fast networking, eg, over Remote …

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 …

Distributed databases have become indispensable in contemporary computing and data
processing, owing to their pivotal role in ensuring high availability and scalability. They …

Compute Express Link (CXL) is emerging as a significant player in the landscape of modern
database man-agement systems (DBMS). CXL is an open industry-standard interconnect …

With the prevalence of data-driven intelligence, data markets with various data products are
gaining considerable interest as a promising paradigm for commoditizing data and …

Storage-compute disaggregation has recently emerged as a novel architecture in modern
data centers, particularly in the cloud. By decoupling compute from storage, this new …

Feature vectors are now mission-critical for many applications, including retrieval-based
large language models (LLMs). Traditional database management systems are not …

Disaggregating memory from compute offers the opportunity to better utilize stranded
memory in data centers. It is important to cache data in the compute nodes and maintain …

Query execution techniques in database systems are constantly adapting to novel hardware
features in order to improve query performance, in particular for analytical queries. In the last …