Memory is the most contended and least elastic resource in datacenter servers today.
Applications can use only local memory—which may be scarce—even though memory …

Datacenter systems and I/O devices now run at single-digit microsecond latencies, requiring
ns-scale operating systems. Traditional kernel-based operating systems impose an …

Emerging hardware like persistent memory (PM) and high-speed NICs are promising to
build efficient key-value stores. However, we observe that the small-sized access pattern in …

Remote Direct Memory Access (RDMA) based network devices are increasingly being
deployed in modern data centers. RDMA brings significant performance improvements over …

Distributed in-memory key-value (KV) stores are embracing the disaggregated memory (DM)
architecture for higher resource utilization. However, existing KV stores on DM employ …

RDMA (Remote Direct Memory Access) has gained considerable interests in network-
attached in-memory key-value stores. However, traversing the remote tree-based index in …

Remote Direct Memory Access (RDMA) plays a key role in supporting performance-hungry
datacenter applications. However, existing RDMA technologies are ill-suited to multi-tenant …

Disaggregated memory systems separate monolithic servers into different components,
including compute and memory nodes, to enjoy the benefits of high resource utilization …

The adoption of low latency persistent memory modules (PMMs) upends the long-
established model of remote storage for distributed file systems. Instead, by colocating …

The global scale and challenging requirements of modern cloud applications have led to the
development of complex, widely distributed, service-oriented applications. One enabler of …