Traditional measures of network goodness—goodput, quality of service, fairness—are
expressed in terms of bandwidth. Network latency has rarely been a primary concern …

Increasingly stringent throughput and latency requirements in datacenter networks demand
fast and accurate congestion control. We observe that the reaction time and accuracy of …

Cloud data centers host diverse applications, mixing in the same network a plethora of
workflows that require small predictable latency with others requiring large sustained …

Cloud data centers host diverse applications, mixing workloads that require small
predictable latency with others requiring large sustained throughput. In this environment …

Data center networks are inclined towards increasing line rates to 200Gbps and beyond to
satisfy the performance requirements of applications such as NVMe and distributed ML. With …

Multi-tenant datacenters are successful because tenants can seamlessly port their
applications and services to the cloud. Virtual Machine (VM) technology plays an integral …

An important class of datacenter applications, called Online Data-Intensive (OLDI)
applications, includes Web search, online retail, and advertisement. To achieve good user …

Effective congestion control in a multi-tenant data center is becoming increasingly
challenging with rapidly increasing workload demand, ever faster links, small average …

An increasing number of TCP performance issues including TCP Incast, TCP Outcast, and
long query completion times are common in large-scale data centers. We demonstrate that …

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 …