• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

An Efficient Online RTP Packet Classification Method for Traffic Management In the Internet


Roh Byeong-hee, Journal of Internet Computing and Services, Vol. 5, No. 5, pp. 39-48, Oct. 2004
Full Text:
Keywords: Traffic Measurement, Internet Management, RTP, Packet Classification

Abstract

For transporting real-time multimedia traffic, RTP is considered as one of the most promising protocols operating at application layer. In order to manage and control the real-time multimedia traffic within networks, network managers need to monitor and analyze the traffic delivering through their networks. However, conventional traffic analyzing tools can not exactly classify and analyze the real-time multimedia traffic using RTP on the basis of real-time as well as non-real-time operations. In this paper, we propose an efficient online classification method of RTP packets, which can be used on high-speed network links. The accuracy and efficiency of the proposed methodhave been tested using captured data from a KIX node with 100 Mbps links, which interconnects between domestic and overseas Internet networks and is operated by NCA.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[APA Style]
Byeong-hee, R. (2004). An Efficient Online RTP Packet Classification Method for Traffic Management In the Internet. Journal of Internet Computing and Services, 5(5), 39-48.

[IEEE Style]
R. Byeong-hee, "An Efficient Online RTP Packet Classification Method for Traffic Management In the Internet," Journal of Internet Computing and Services, vol. 5, no. 5, pp. 39-48, 2004.

[ACM Style]
Roh Byeong-hee. 2004. An Efficient Online RTP Packet Classification Method for Traffic Management In the Internet. Journal of Internet Computing and Services, 5, 5, (2004), 39-48.