Title :
The statistics and analysis of packet traffic distribution characters in access network based on NetMagic platform
Author :
Mao, Xilong ; Cheng, Hui ; Long, Fei ; Yang, An
Author_Institution :
Comput. Sci., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
Packet traffic has random characters and relates to different layers. This paper aims to analyze the statistics characters of real packets on service node interface (SNI) of access network, using complex Poisson distributed probability model to describe the characters of the number of received packets, and using tri-modal distributed probability model to describe the characters of the packet length. K-S fit tests are used to evaluate these models and achieve high accuracy results. Based on these models, a probability model of packet traffic is proposed. The methods can be extended to research higher layer network traffic characters.
Keywords :
Poisson distribution; probability; subscriber loops; telecommunication traffic; K-S fit testing; NetMagic platform; access network; complex Poisson distributed probability model; packet length character; packet traffic distribution character; real packet statistics character; received packet; service node interface; trimodal distributed probability model; Accuracy; IP networks; Internet; Probability density function; Protocols; Random variables; NetMagic; Poisson distributed; normal distributed; packet traffic; statistic characters;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4577-1414-6
DOI :
10.1109/CECNet.2012.6201429
