Memory disaggregation architecture physically separates CPU and memory into
independent components, which are connected via high-speed RDMA networks, greatly …

Far memory systems allow an application to transparently access local memory as well as
memory belonging to remote machines. Fault tolerance is a critical property of any practical …

Hybrid computing platforms, comprising CPU cores and FPGA logic, are increasingly used
for accelerating data-intensive workloads in cloud deployments, and are a growing topic of …

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

This paper presents the two generations of storage network stacks that reduced the average
I/O latency of Alibaba Cloud's EBS service by 72% in the last five years: Luna, a user-space …

Responding to the" datacenter tax" and" killer microseconds" problems for memory-intensive
datacenter applications, diverse solutions including Smart NIC-based ones have been …

Modern cloud networks are a fundamental pillar of data-intensive applications. They provide
high-speed transaction (packet) rates and low overhead, enabling, for instance, truly …

Graph databases (GDBs) are crucial in academic and industry applications. The key
challenges in developing GDBs are achieving high performance, scalability …

Combining persistent memory (PM) with RDMA is a promising approach to performant
replicated distributed key-value stores (KVSs). However, existing replication approaches do …

Serializable distributed in-memory transactions are important building blocks for data center
applications. To achieve high throughput and low latency, existing distributed transaction …