Deployment optimization in wireless sensor networks using advanced artificial bee colony algorithm

J Zhu, J Rong, Z Gong, Y Liu, W Li, F Alqahtani… - Peer-to-peer networking …, 2024 - Springer
With the widespread implementation of artificial intelligence techniques and self-driving
systems in smart cars, providing excellent coverage of wireless sensor networks is critical for …

RDMA Transports in Datacenter Networks: Survey

J Hu, H Shen, X Liu, J Wang - IEEE Network, 2024 - ieeexplore.ieee.org
Remote Direct Memory Access (RDMA) has become an important building block of modern
datacenter network (DCN) infrastructure given the merits of kernel bypass, zero memory …

Towards fine-grained load balancing with dynamical flowlet timeout in datacenter networks

J Hu, R Li, Y Liu, J Wang - Computer Networks, 2024 - Elsevier
In modern datacenter networks (DCNs), load balancing mechanisms are widely deployed to
enhance link utilization and alleviate congestion. Recently, a large number of load …

DeFlow: Differential flowlet switching for load balancing in datacenter networks

Y Wan, H Song, Y Jia, Y Wang, L Qian, T Pan - Computer Networks, 2025 - Elsevier
Multipath enhances the reliability and bandwidth of datacenter networks, but it also
necessitates effective load balancing. The dynamic nature of traffic and diverse flow …

Dynamically identify important nodes in the hypergraph based on the ripple diffusion and ant colony collaboration model

P Wang, G Ling, P Zhao, ZH Guan, MF Ge - Journal of Network and …, 2025 - Elsevier
Identifying important nodes plays an indispensable role in analyzing and regulating
networks, and hypergraphs, as a classic high-order network, can represent the complex …

SDLoRe: A loss recovery algorithm based on segment detection in lossy RDMA networks

S Li, L Li, W Dou, Y Zhang, C Wang, X Cui, L Li - Computer Networks, 2025 - Elsevier
Abstract Remote Direct Memory Access (RDMA) has emerged as the leading solution for
constructing top-performing networks in data centers due to the exceptional traits of low …

SRCC: Sub-RTT Congestion Control for Lossless Datacenter Networks

J Hu, S Rao, M Zhu, J Huang, J Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
To meet the stringent requirements of industrial applications, modern Ethernet datacenter
networks widely deployed with remote direct memory access (RDMA) technology and …

Straggler-Aware Gradient Aggregation for Large-Scale Distributed Deep Learning System

Y Li, J Huang, Z Li, J Liu, S Zhou… - IEEE/ACM …, 2024 - ieeexplore.ieee.org
Deep Neural Network (DNN) is a critical component of a wide range of applications.
However, with the rapid growth of the training dataset and model size, communication …

SAR: Receiver-Driven Transport Protocol With Micro-Burst Prediction in Data Center Networks

J Ye, T Yu, Z Li, J Huang - IEEE Transactions on Network and …, 2024 - ieeexplore.ieee.org
In recent years, motivated by new datacenter applications and the well-known shortcomings
of TCP in data center, many receiver-driven transport protocols have been proposed to …

Deep Reinforcement Learning Based Dynamic Flowlet Switching for DCN

X Diao, H Gu, W Wei, G Jiang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …