LossDetection: Real-Time Packet Loss Monitoring System for Sampled Traffic Data

被引:4
|
作者
Wu, Hua [1 ,2 ,3 ]
Liu, Ya [1 ,2 ]
Ni, Shanshan [1 ,2 ]
Cheng, Guang [1 ,4 ]
Hu, Xiaoyan [1 ,2 ]
机构
[1] Southeast Univ, Sch Cyber Sci & Engn, Nanjing 210096, Peoples R China
[2] Southeast Univ, Key Lab Comp Network & Informat Integrat, Nanjing 210096, Peoples R China
[3] Purple Mt Labs Network & Commun Secur, Nanjing 211111, Peoples R China
[4] Jiangsu Prov Engn Res Ctr Secur Ubiquitous Network, Nanjing 211102, Peoples R China
来源
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT | 2023年 / 20卷 / 01期
基金
国家重点研发计划;
关键词
Packet loss; Real-time systems; Feature extraction; Monitoring; Systematics; Detection algorithms; Current measurement; Packet loss detection; sketch; real-time detection; machine learning; DATA CENTERS;
D O I
10.1109/TNSM.2022.3203389
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 degraded. Therefore, real-time passive packet loss detection is conducive to estimating network services. Existing passive packet loss detection methods mainly study the packet loss for TCP using header information from full traffic. However, it cannot infer packet loss status for UDP due to its limited header information and is too costly to perform full acquisition in real networks. To address these problems, we propose a framework called LossDetection based on packet sampling and Feature-Sketch to detect packet loss in real time for both TCP and UDP. The result shows that our methodology can detect packet loss with an accuracy of 98%-100% at a sampling rate of 1/16. Furthermore, our extensive evaluation demonstrates that LossDetection is easy to implement in a software router and achieves low memory and detection latency while providing real-time information about packet loss.
引用
收藏
页码:30 / 45
页数:16
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