Data centers (DCs), owing to the exponential growth of Internet services, have emerged as
an irreplaceable and crucial infrastructure to power this ever-growing trend. A DC typically …

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 …

We report on experiences with Swift congestion control in Google datacenters. Swift targets
an end-to-end delay by using AIMD control, with pacing under extreme congestion. With …

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 …

This paper introduces Copa, an end-to-end congestion control algorithm that uses three
ideas. First, it shows that a target rate equal to 1=(δd q), where dq is the (measured) …

Datacenter networks deal with a variety of workloads, ranging from latency-sensitive small
flows to bandwidth-hungry large flows. Load balancing schemes based on flow hashing, eg …

Centralized datacenter schedulers can make high-quality placement decisions when
scheduling tasks in a cluster. Today, however, high-quality placements come at the cost of …

Large scale streaming systems aim to provide high throughput and low latency. They are
often used to run mission-critical applications, and must be available 24x7. Thus such …

Cyber-physical systems (CPS), like the ones used in industrial automation systems, are
highly time-sensitive applications demanding zero packet losses along with stringent real …

Datacenters need networks that support both low-latency and high-bandwidth packet
delivery to meet the stringent requirements of modern applications. We present Opera, a …