At-scale evaluation of new data center network innovations is becoming increasingly
intractable. This is true for testbeds, where few, if any, can afford a dedicated, full-scale …

In this paper, we consider how to provide fast estimates of flow-level tail latency performance
for very large scale data center networks. Network tail latency is often a crucial metric for …

While prior work has explored many proposed datacenter designs, only two designs, Clos-
based and expander-based, are generally considered practical because they can scale …

The shared nature of the network in today's multi-tenant datacenters implies that network
performance for tenants can vary significantly. This applies to both production datacenters …

Can we get network latency between any two servers at any time in large-scale data center
networks? The collected latency data can then be used to address a series of challenges …

Network measurement and monitoring have been key to understanding the inner workings
of computer networks and debugging the performance problems of distributed applications …

Many data center applications are latency-sensitive. Monitoring continuously the network
latency and reacting to congestion on a network path is important to ensure that the …

Despite recent advances in datacenter networks, timeouts caused by congestion packet
losses still remain a major cause of high tail latency. Priority-based Flow Control (PFC) was …

While today's data centers are multiplexed across many non-cooperating applications, they
lack effective means to share their network. Relying on TCP's congestion control, as we …

ECN has been widely employed in production datacenters to deliver high throughput low
latency communications. Despite being successful, prior ECN-based transports have an …