A systematic review of generative adversarial imputation network in missing data imputation

Y Zhang, R Zhang, B Zhao - Neural Computing and Applications, 2023 - Springer
Data missing has always occurred in data processing. To solve this problem, researchers
have improved the process methods of the missing data with diverse strategies, which range …

Congestion control using in-network telemetry for lossless datacenters

J Wang, D Yuan, W Luo, S Rao… - … , Materials & Continua, 2023 - centaur.reading.ac.uk
In the Ethernet lossless Data Center Networks (DCNs) deployed with Priority-based Flow
Control (PFC), the head-of-line blocking problem is still difficult to prevent due to PFC …

Lossdetection: Real-time packet loss monitoring system for sampled traffic data

H Wu, Y Liu, S Ni, G Cheng, X Hu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Packet loss is common in networks, which leads to network quality of service degradation.
Packet loss is an essential and concerning symptom when the quality of service is …

FullSight: A feasible intelligent and collaborative framework for service function chains failure detection

K Guo, J Chen, P Dong, S Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Network function virtualization (NFV) is a ground-breaking technology that decouples
network functions (NFs) from customized hardware to support more flexible network services …

Computation-Aware Link Repair for Large-Scale Damage in Distributed Cloud Networks

Y Miao, H Tian, H Wu, W Ni… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Due to the distributed deployment and inter-network dependence, distributed cloud network
(DCN) is vulnerable to large-scale damage, making emergent system recovery of vital …

MFGAD-INT: in-band network telemetry data-driven anomaly detection using multi-feature fusion graph deep learning

Y Duan, C Li, G Bai, G Chen, F Zhou, J Chen… - Journal of Cloud …, 2023 - Springer
As the cloud services market grows, cloud management tools that detect network anomalies
in a non-intrusive manner are critical to improve users' experience of cloud services …

Selective and on-demand network measurement with SRv6 and INT

J Liu, X Shi, Y Huang, Q Yang - Computer Networks, 2023 - Elsevier
Network measurement plays a critical role in network management to provide rich real-time
network state for further network analysis. The novel network measurement approach, In …

[HTML][HTML] 软件定义网络故障诊断综述

齐小刚, 单明媚, 张皓然 - 智能系统学报, 2023 - html.rhhz.net
复杂的传统网络结构限制了网络功能的发展, 也逐渐暴露传统故障诊断算法的缺点.
为此本文从新型网络环境的角度详细分析软件定义网络(software-defined networking, SDN) …

Enabling Fine-Grained Packet Loss Monitoring in Cloud Networks

R Bose, G Sviridov, J Cardoso - GLOBECOM 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Excessive network packet loss is one of the strongest symptoms of the presence of some
hardware or software-related infrastructure anomaly. As such, multiple techniques to rapidly …

Hawkeye: Efficient In-band Network Telemetry with Hybrid Proactive-Passive Mechanism

K Zhang, W Zhang, L Liu, L Tan… - 2022 IEEE Intl Conf …, 2022 - ieeexplore.ieee.org
With the rapid development of software-defined networking and programmable data plane,
in-band network telemetry (INT) has attracted a lot of attention as an advanced network …