Implementing distributed protocols under a standard Linux kernel networking stack enjoys
the benefits of load-aware CPU scaling, high compatibility, and robust security and isolation …

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 …

Artificial intelligence (AI) research and market have grown rapidly in the last few years, and
this trend is expected to continue with many potential advancements and innovations in this …

Memory disaggregation has replaced the landscape of dat-acenters by physically
separating compute and memory nodes, achieving improved utilization. As early efforts …

Network technology is the basis for large-scale high-efficiency network computing, such as
supercomputing, cloud computing, big data processing, and artificial intelligence computing …

The difficulty in gaining visibility into the fine-timescale hop-level congestion state of
networks has been a key challenge faced by congestion control (CC) protocols for decades …

Today, we are seeing two trends in the data center. On the one hand, applications are
becoming more fine-grained, driven by the recent trend of serverless computing and …

In multi-tenant data centers, each tenant desires reassuring predictability from the virtual
network fabric-bandwidth guarantee, work conservation, and bounded tail latency …

Datacenter applications have been increasingly applying RDMA for the ultra-low latency
and low CPU overhead. However, RDMA-capable NICs (RNICs) of different vendors and …

Despite 40 years of active research on congestion control, there has been little or no
consideration of how it impacts the energy usage of end-hosts or networking equipment …