We present Orion, a distributed Software-Defined Networking platform deployed globally in
Google's datacenter (Jupiter) and Wide Area (B4) networks. Orion was designed around a …

Packet schedulers traditionally focus on the prioritized transmission of packets. Scheduling
is often realized through coarse-grained queue-level priorities, as in today's switches, or …

With the increasing popularity of disaggregated storage and microservice architectures, high
fan-out and fan-in Remote Procedure Calls (RPCs) now generate most of the traffic in …

This paper argues that fair-sharing, the holy grail of congestion control algorithms for
decades, is not necessarily a desirable property in Machine Learning (ML) training clusters …

To improve the processing efficiency of jobs in distributed computing, the concept of coflow
is proposed. A coflow is a collection of flows that are semantically correlated in a multi-stage …

Recent research has proposed several packet, flow, and coflow scheduling methods that
could substantially improve data center network performance. Most of this work assumes …

Datacenter Parallel Iterative Matching (dcPIM) is a proactive data-center transport design
that simultaneously achieves near-optimal tail latency for short flows and near-optimal …

Data centers increasingly deploy commodity servers with high-speed network interfaces to
enable low-latency communication. However, achieving low latency at high data rates …

Many resource allocation problems in the cloud can be described as a basic Virtual Network
Embedding Problem (VNEP): the problem of finding a mapping of a request graph …

As modern cloud services have scaled out, applications have moved from relatively
monolithic designs to highly modularized fleets of microservices that communicate among …