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

Debugging faults in complex networks often requires capturing and analyzing traffic at the
packet level. In this task, datacenter networks (DCNs) present unique challenges with their …

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 …

Data center network operators have to continually monitor path latency to quickly detect and
re-route traffic away from high-delay path segments. Existing latency monitoring techniques …

Network telemetry is to collect information (eg, hop latency, throughput) from network
devices. Network-wide telemetry is critical for operators to understand the quality of network …

Managing data center networks with low loss requires understanding traffic dynamics at
short (millisecond) time-scales, especially the burstiness of traffic, and to what extent bursts …

The administrators of data center networks have to continually monitor path latency to detect
network anomaly quickly and ensure the efficient operation of the networks. In this work, we …

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 …

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 …

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 …