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 …

This paper introduces Perséphone, a kernel-bypass OS scheduler designed to minimize tail
latency for applications executing at microsecond-scale and exhibiting wide service time …

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

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 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 …

Reducing the power consumption of Data Center Networks (DCNs) and guaranteeing the
Flow Completion Time (FCT) of applications in DCNs are two major concerns for data center …

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

As datacenter networks continue to support a wider range of applications and faster link
speeds, they face the challenge of managing bursty traffic and transient congestion. End-to …

Fog computing is a distributed computing model that can utilise the storage, analysis and
processing capabilities of fog nodes near edge devices. Although fog computing can …

In today's data center networks (DCN), cloud applications commonly disseminate files from a
single source to a group of receivers for service deployment, data replication, software …