In the era of digitization, Data Center Networks (DCN) have emerged as a critical component
supporting infrastructure for cloud computing, big data analytics, online services, and more …

The nature of machine learning (ML) applications exposes rich characteristics to underlying
network transport, yet little work has been done so far to systematically exploit these …

Today's network devices share buffer across queues to avoid drops during transient
congestion and absorb bursts. As the buffer-per-bandwidth-unit in datacenter decreases, the …

The switch buffers in datacenters today are shared by traffic classes with different loss
tolerance and reaction to congestion signals. In particular, while legacy applications use …

Many existing load balancing mechanisms work effectively in lossy datacenter networks
(DCNs), but they suffer from serious packet reordering in lossless Ethernet DCNs deployed …

Managing data center networks with low loss requires understanding traffic dynamics at
short (millisecond) time-scales, especially the burstiness of traffic, and to what extent bursts …

Today's network is notorious for its complexity and uncertainty. Network operators often rely
on network models to achieve efficient network planning, operation, and optimization. The …

Packet buffers in datacenter switches are shared across all the switch ports in order to
improve the overall throughput. The trend of shrinking buffer sizes in datacenter switches …

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

The rapid upgrade of link speed and the prosperity of new applications in data center
networks (DCNs) lead to a rigorous demand for ultra-low latency and high throughput. To …