In modern datacenter networks (DCNs), load balancing mechanisms are widely deployed to
enhance link utilization and alleviate congestion. Recently, a large number of load …

In modern datacenter networks (DCNs), mainstream congestion control (CC) mechanisms
essentially rely on Explicit Congestion Notification (ECN) to reflect congestion. The …

This article presents a novel data-driven methodology designed to enhance the resilience of
distributed DC microgrids against various cyber attacks, including Fault Detection and …

Identifying important nodes plays an indispensable role in analyzing and regulating
networks, and hypergraphs, as a classic high-order network, can represent the complex …

Memristor-based fractional-order chaotic systems can record information from the past,
present, and future, and describe the real world more accurately than integer-order systems …

To meet the stringent requirements of industrial applications, modern Ethernet datacenter
networks widely deployed with remote direct memory access (RDMA) technology and …

In contrast to previous research that has primarily focused on distance synchronization of
states in chaotic systems, shape synchronization emphasizes the geometric shape of the …

Emerging industrial Internet-of-Things (IoT) applications demand diverse and critical Quality
of Service (QoS). Deep reinforcement learning (DRL)-based routing approaches offer …

As training Deep Neural Network (DNN) is time-consuming, people resort to parallelization
across multiple accelerators. A plethora of solutions adopt data/model parallelization, but …

RDMA over Converged Ethernet v2 (RoCEv2) is one of the most popular high-speed
datacenter networking solutions. Watermark is the general term for various trigger and …