Deployment optimization in wireless sensor networks using advanced artificial bee colony algorithm
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 …
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 …
datacenter network (DCN) infrastructure given the merits of kernel bypass, zero memory …
Towards fine-grained load balancing with dynamical flowlet timeout in datacenter networks
In modern datacenter networks (DCNs), load balancing mechanisms are widely deployed to
enhance link utilization and alleviate congestion. Recently, a large number of load …
enhance link utilization and alleviate congestion. Recently, a large number of load …
DeFlow: Differential flowlet switching for load balancing in datacenter networks
Multipath enhances the reliability and bandwidth of datacenter networks, but it also
necessitates effective load balancing. The dynamic nature of traffic and diverse flow …
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 …
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 …
constructing top-performing networks in data centers due to the exceptional traits of low …
SRCC: Sub-RTT Congestion Control for Lossless Datacenter Networks
To meet the stringent requirements of industrial applications, modern Ethernet datacenter
networks widely deployed with remote direct memory access (RDMA) technology and …
networks widely deployed with remote direct memory access (RDMA) technology and …
Straggler-Aware Gradient Aggregation for Large-Scale Distributed Deep Learning System
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 …
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
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 …
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 …
balancing in data center networks. However, flowlet detection based on static flowlet timeout …