@inproceedings{355080dfef0046b5a893a41b320e17bf,
title = "SONAR: A scalable stream-oriented system for real-time network traffic measurements",
abstract = "Accurate and real-time network measurements are becoming increasingly critical for a large variety of management tasks like accounting, bandwidth provisioning and security analysis. However, existing network measurement techniques have major limitations in supporting scalable and real-time traffic data monitoring and analyzing on high-speed (10Gbps and beyond) network links. Therefore, we propose a novel real-time network measurement system, named SONAR, which facilitates the convergence of real-time network monitoring and traffic analysis. We illustrate how the proposed system is designed and implemented based on streaming computing technologies, and demonstrate its capabilities with a built-in abnormal traffic detection application. The proposed system, based on real-world actualization and evaluation, has been demonstrated to be a high-performance and scalable solution for real-time network traffic measurements.",
keywords = "Anomaly detection, Network measurement, Network traffic analysis, Stream computing",
author = "Jun Liu and Yutan Du and Jie Yang and Nirwan Ansari",
year = "2016",
month = jun,
day = "1",
doi = "10.1109/HPSR.2015.7483101",
language = "English (US)",
series = "IEEE International Conference on High Performance Switching and Routing, HPSR",
publisher = "IEEE Computer Society",
booktitle = "2015 IEEE 16th International Conference on High Performance Switching and Routing, HPSR 2015",
address = "United States",
note = "16th IEEE International Conference on High Performance Switching and Routing, HPSR 2015 ; Conference date: 30-06-2015 Through 04-07-2015",
}