TY - GEN
T1 - SPSD
T2 - 28th Chinese Control and Decision Conference, CCDC 2016
AU - Ding, Lei
AU - Liu, Jun
AU - Qin, Tao
AU - Li, Max Haifei
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/3
Y1 - 2016/8/3
N2 - Packet size distribution (PSD), known as the probability distribution of packet size in a flow, is an important attribute for traffic analysis. However, to get a flow's precise PSD is computationally intensive due to the massive flows in networks and massive packets in some flows. In this paper, we propose an alternative attribute, sampled packet size distribution (SPSD), which can give a proper estimation of PSD. We introduce a bi-directional flow model and the probability representation of SPSD. Generating method of SPSD is also given, where SPSD is collected from a sampled trace, which makes it easier to get and have a great reduction in the number of packets being processed. Based on a real trace collected from the campus network, we confirm that SPSD varies slightly from PSD on low sampling granularity. The cosine and KL distances between SPSD and PSD of a flow are less than 10-2 and 10-1 respectively. Also, the orderliness of PSD distance sequence is well preserved when SPSD used.
AB - Packet size distribution (PSD), known as the probability distribution of packet size in a flow, is an important attribute for traffic analysis. However, to get a flow's precise PSD is computationally intensive due to the massive flows in networks and massive packets in some flows. In this paper, we propose an alternative attribute, sampled packet size distribution (SPSD), which can give a proper estimation of PSD. We introduce a bi-directional flow model and the probability representation of SPSD. Generating method of SPSD is also given, where SPSD is collected from a sampled trace, which makes it easier to get and have a great reduction in the number of packets being processed. Based on a real trace collected from the campus network, we confirm that SPSD varies slightly from PSD on low sampling granularity. The cosine and KL distances between SPSD and PSD of a flow are less than 10-2 and 10-1 respectively. Also, the orderliness of PSD distance sequence is well preserved when SPSD used.
KW - Packet sampling
KW - Packet size distribution
KW - Traffic classification
UR - https://www.scopus.com/pages/publications/84983805356
U2 - 10.1109/CCDC.2016.7531913
DO - 10.1109/CCDC.2016.7531913
M3 - 会议稿件
AN - SCOPUS:84983805356
T3 - Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
SP - 5125
EP - 5131
BT - Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 28 May 2016 through 30 May 2016
ER -