Datacenters provide cost-effective and flexible access to scalable compute and storage
resources necessary for today's cloud computing needs. A typical datacenter is made up of …

Data center networks usually employ the scale-out model to provide high bisection
bandwidth for applications. A large amount of data is required to be transferred frequently …

Datacenter applications demand microsecond-scale tail latencies and high request rates
from operating systems, and most applications handle loads that have high variance over …

Homa is a new transport protocol for datacenter networks. It provides exceptionally low
latency, especially for workloads with a high volume of very short messages, and it also …

Modern datacenter networks provide very high capacity via redundant Clos topologies and
low switch latency, but transport protocols rarely deliver matching performance. We present …

Distributed deep neural network training (DT) systems are widely deployed in clusters where
the network is shared across multiple tenants, ie, multiple DT jobs. Each DT job computes …

Datacenter networks employ multi-rooted topologies (eg, Leaf-Spine, Fat-Tree) to provide
large bisection bandwidth. These topologies use a large degree of multipathing, and need a …

The trend towards simple datacenter network fabric strips most network functionality,
including load balancing, out of the network core and pushes it to the edge. This slows …

Production datacenters operate under various uncertainties such as traffic dynamics,
topology asymmetry, and failures. Therefore, datacenter load balancing schemes must be …

By moving network functionality from dedicated hardware to software running on end-hosts,
Network Functions Virtualization (NFV) pledges the benefits of cloud computing to packet …