Memory disaggregation (MD) allows for scalable and elastic data center design by
separating compute (CPU) from memory. With MD, compute and memory are no longer …

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 …

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 RDMA …

Memory disaggregation allows applications running on compute servers to expand their
pool of available memory capacity by leveraging remote resources through low-latency …

Data management systems are hungry for main memory, and cloud data centers are awash
in it. But that memory is not always easily accessible and often too expensive. To bridge this …

Disaggregated database systems achieve unprecedented excellence in elasticity and
resource utilization at the cloud scale and have gained great momentum from both industry …

While permissioned blockchains enable a family of data center applications, existing
systems suffer from imbalanced loads across compute and memory, exacerbating the …

Memory disaggregation can potentially allow memory-optimized range indexes such as B+-
trees to scale beyond one machine while attaining high hardware utilization and low cost …

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 …

Memory disaggregation can potentially allow memory-optimized range indexes such as B+-
trees to scale beyond one machine while attaining high hardware utilization and low cost …