TY - GEN
T1 - SMART
T2 - 2008 IEEE 24th International Conference on Data Engineering, ICDE'08
AU - Zhou, Aoying
AU - Yan, Ying
AU - Gong, Xueqing
AU - Chang, Jianlong
AU - Dai, Dai
PY - 2008
Y1 - 2008
N2 - Network traffic monitoring have been gaining attentions due to its importance in telecom industry. However, the monitoring systems deployed in telecom operators are usually too slow because of their disk-based processing approach. To address this problem, an online network traffic monitoring system, named SMART, is designed and developed. The system converts different formats of raw Netflow data (Netflow IPv5, IPv7 and IPv9) to user-defined control flows through combination and filtering. It can compute top-k frequent flows with sliding window, detects burst on arbitrary attributes, and presents results visually to users. The system could be used to replace the traditional offline monitoring system used in Shanghai Telecom. In its daily operation, it is shown that the processing speed achieves 30,000 flows per second. The basis of advanced streaming algorithms and design of robust system architecture enable SMART to achieve good performance.
AB - Network traffic monitoring have been gaining attentions due to its importance in telecom industry. However, the monitoring systems deployed in telecom operators are usually too slow because of their disk-based processing approach. To address this problem, an online network traffic monitoring system, named SMART, is designed and developed. The system converts different formats of raw Netflow data (Netflow IPv5, IPv7 and IPv9) to user-defined control flows through combination and filtering. It can compute top-k frequent flows with sliding window, detects burst on arbitrary attributes, and presents results visually to users. The system could be used to replace the traditional offline monitoring system used in Shanghai Telecom. In its daily operation, it is shown that the processing speed achieves 30,000 flows per second. The basis of advanced streaming algorithms and design of robust system architecture enable SMART to achieve good performance.
UR - https://www.scopus.com/pages/publications/52649159673
U2 - 10.1109/ICDE.2008.4497625
DO - 10.1109/ICDE.2008.4497625
M3 - 会议稿件
AN - SCOPUS:52649159673
SN - 9781424418374
T3 - Proceedings - International Conference on Data Engineering
SP - 1576
EP - 1579
BT - Proceedings of the 2008 IEEE 24th International Conference on Data Engineering, ICDE'08
Y2 - 7 April 2008 through 12 April 2008
ER -