In memory computing and high-end distributed storage demand low latency, high
throughput, and zero data loss simultaneously from datacenter networks. Existing reactive …

For provisioning large-scale online applications such as web search, social networks and
advertisement systems, data centers face extreme challenges in providing low latency for …

Edge cloud solutions that bring the cloud closer to the sensors can be very useful to meet
the low latency requirements of many Internet-of-Things (IoT) applications. However, IoT …

In this paper, we conduct systematic measurement studies to show that the high memory
bandwidth consumption of modern distributed applications can lead to a significant drop of …

In data center applications, predictability in service time and controlled latency, especially
tail latency, are essential for building performant applications. This is especially true for …

Modern cloud applications generate millions of mixed flows transmitted between distributed
nodes, and the typical latency-sensitive and throughput-intensive flows coexist in datacenter …

While machine learning applications in IoT devices are getting more widespread, the
computational and power limitations of these devices pose a great challenge. To handle this …

RDMA has been widely deployed in datacenter networking as an ideal optimization strategy
in recent years. Due to its mechanisms such as kernel bypass and hardware offloading …

Data centers require many low-level network services to implement high-level applications.
Key-Value Store (KVS) is a critical service that associates values with keys and allows …

In datacenters, workload throughput is often constrained by the attachment bandwidth of
proxy servers, despite the much higher aggregate bandwidth of backend servers. We …