Serverless computing separates function execution from state management. Simple retry-
based fault tolerance might corrupt the shared state with duplicate updates. Existing …

Recently, many applications have required the ability to perform dynamic graph analytical
processing (GAP) tasks on the datasets generated by relational OLTP in real time. To meet …

Native distributed databases, crucial for scalable applications, offer transactional and
analytical prowess but face data intricacies and network challenges. Under the CAP …

Strictly serializable datastores greatly simplify application development. However, existing
techniques pay unnecessary costs for naturally consistent transactions, which arrive at …

We present KRCORE, an RDMA library with a microsecond-scale control plane on
commodity RDMA hardware for elastic computing. KRCORE can establish a full-fledged …

A classic design of cloud-native databases adopts an architecture that consists of one
read/write (RW) node and one or more read-only (RO) nodes. In such a design, the …

Many application domains can benefit from hybrid transaction/analytical processing (HTAP)
by executing queries on real-time datasets produced by concurrent transactions. However …

In modern datacenters, memory disaggregation unpacks monolithic servers to build network-
connected distributed compute and memory pools to improve resource utilization and …

Flourishing OLTP applications promote transaction systems to scale out to datacenter-level
clusters. Benefiting from high scalability, timestamp ordering (T/O) approaches tend to win …

Shared-nothing, distributed databases scale transactional and analytical processing over a
large data volume by spreading data across servers. However, static sharding of data across …