@inproceedings{186cff15932e47d58c507144e7f6adb3,
title = "Application-aware realtime monitoring with data visualization in OpenFlow-based network",
abstract = "For network managers, it is important to find the burst network traffic as soon as possible. However, most network monitoring system can not find the source of the problematic flow in a short time. In this paper, we design an efficient realtime deep packet inspection (DPI) monitoring system, which can help us observe not only the topology but also the protocol such as Facebook or Google. To make the system efficient, we do some experiments about changes of different cache method in nDPI and effects of different parameters in D3.js force layout library.",
author = "Cai, \{Yun Zhan\} and Lin, \{Chia Ying\} and Tsai, \{Meng Hsun\}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 31st IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2017 ; Conference date: 27-03-2017 Through 29-03-2017",
year = "2017",
month = may,
day = "16",
doi = "10.1109/WAINA.2017.14",
language = "English",
series = "Proceedings - 31st IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "385--390",
editor = "Tomoya Enokido and Makoto Takizawa and Chi-Yi Lin and Hui-Huang Hsu and Leonard Barolli",
booktitle = "Proceedings - 31st IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2017",
address = "United States",
}