Traffic classification is essential for cybersecurity maintenance and network management,
and has been widely used in QoS (Quality of Service) guarantees, intrusion detection, and …

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 …

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 …

With the explosive growth of the Internet of Things (IoT), an increasing amount of sensor
data generated by soft real-time IoT applications has been moved to data centers for storage …

Nowadays, the deluge of heterogeneous data generated by various cloud-based industrial
applications often has to be delivered to the data center for analysis and storage. To speed …

Virtual Reality (VR) applications that require extremely low delay and high image quality are
widely used in online games and other 5G scenarios, becoming a hot research field in …

Predicting resource usage of workloads in large scale production clusters is very important
to understand the characteristics of applications. It is also very important for cluster operators …

Flowlet switching has been proven to be an effective technology for fine-grained load
balancing in data center networks. However, flowlet detection based on static flowlet timeout …

ECN marking has been integrated into datacenter switches to enable high-throughput and
low-latency transport. We observe that current marking schemes are coarse-grained: they …

The mixed flow in multi-tenant data centers presents a challenge for priority flow scheduling
due to the coexistence of various requirements such as latency and throughput. To address …