DocumentCode :
3109435
Title :
Connection Characteristics Analyses Based on Access Network Data
Author :
Fei Song ; Yige Zhang ; Zhaoxu An ; Huachun Zhou ; Hongke Zhang
Author_Institution :
Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
fYear :
2013
fDate :
3-5 July 2013
Firstpage :
83
Lastpage :
87
Abstract :
This paper mainly considers the analytical mechanism for Internet connection characteristics. We extract the real packet level trace from an access network border router. No sampling method is adopted to maintain the full information. Parameters inside connections are examined carefully. Different time bins are detected for comprehensive exploration. Then, the potential relationship between IP addresses and port numbers at both sides are investigated two-by-two. Thirdly, in order to figure out the properties of connection size and duration, the fluctuation of packets volume is demonstrated, together with connections number. A new scheme based on dynamic window is proposed to calculate duration time efficiently. The result has shown several interesting phenomenon: 1 minute is a suitable bin for capturing the pattern in macroscopic perspective, less connections might generate more packets, etc.
Keywords :
IP networks; Internet; telecommunication network routing; telecommunication traffic; IP address; Internet connection characteristics; access network border router; access network data; connection characteristics analysis; connection duration; connection size; dynamic window; packet level trace; packets volume fluctuation; port numbers; Correlation; Distribution functions; IP networks; Internet; Mobile communication; Mobile computing; Ports (Computers); connection characteristics; network measurement; probability distribution; real network data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2013 Seventh International Conference on
Conference_Location :
Taichung
Type :
conf
DOI :
10.1109/IMIS.2013.23
Filename :
6603654
Link To Document :
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