Memory disaggregation promises transparent elasticity, high resource utilization and
hardware heterogeneity in data centers by physically separating memory and compute into …

Big data applications often incur large costs in I/O, data transfer and copying overhead,
especially when operating in cloud environments. Since most such computations are …

Lock managers are widely used by distributed systems. Traditional centralized lock
managers can easily support policies between multiple users using global knowledge, but …

Researchers have repurposed programmable network devices to place small amounts of
application computation in the network, sometimes yielding orders-of-magnitude …

The advent of switches with programmable dataplanes has enabled the rapid development
of new network functionality, as well as providing a platform for acceleration of a broad …

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

The Internet of Things (IoT) presents a novel computing architecture for data management: a
distributed, highly dynamic, and heterogeneous environment of massive scale. Applications …

This paper describes Trio, a programmable chipset used in Juniper Networks' MX-series
routers and switches. Trio's architecture is based on a multi-threaded programmable packet …

Low-latency online services have strict Service Level Objectives (SLOs) that require
datacenter systems to support high throughput at microsecond-scale tail latency. Dataplane …

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 …