Traffic optimizations (TO, eg flow scheduling, load balancing) in datacenters are difficult
online decision-making problems. Previously, they are done with heuristics relying on …

Most existing data center network (DCN) flow scheduling solutions aim to minimize flow
completion times (FCT). However, these solutions either require precise flow information …

Reconfigurable data center networks (RDCNs) are arising as a promising data center
network (DCN) design in the post-Moore's law era. However, the constantly reconfigured …

Enterprise application providers are increasingly moving their workloads to the cloud for
technical and economic benefits. Multi-cloud environment makes it possible to orchestrate …

Existing reactive or proactive congestion control protocols are hard to simultaneously
achieve ultra-low latency and high link utilization across all workloads ranging from delay …

Multi-cloud is becoming a popular cloud ecosystem because it allows enterprise users to
share the workload across multiple cloud service providers to achieve high-quality services …

This paper argues that congestion control protocols in machine learning datacenters sit at a
sweet spot between centralized and distributed flow scheduling solutions. We present …

The topologies of current data center networks are typically multi-rooted trees (eg leaf–
spine) with rich parallel paths between any pair of hosts. Recent progress has demonstrated …

Datacenter applications desire low latency for short messages to provide a better user
experience. Therefore, one of the goals of datacenter networks is to minimize flow …

Transport protocols can be implemented in NIC (Network Interface Card) hardware to
increase throughput, reduce latency and free up CPU cycles. If the ideal transport protocol …