DocumentCode :
2605567
Title :
Application of data mining for the analysis of Internet path performance
Author :
Borzemski, Leszek ; Lubczynski, Lukasz ; Nowak, Ziemowit
Author_Institution :
Inst. of Control & Syst. Eng., Wroclaw Univ. of Technol., Poland
fYear :
2004
fDate :
11-13 Feb. 2004
Firstpage :
54
Lastpage :
59
Abstract :
We apply data mining analysis to study Internet path performance. We show how a data mining system can be used by end-users in this application. The traceroute packet probing technique is used for Internet measurements. The data set is mined using neural clustering and tree classification mining functions available in IBM Intelligent Miner. We discover from the measured data sets how the round-trip times of the packets and the number of hops they pass vary with the day of the week and the time of the measurement. The decision tree model shows good accuracy of 97% and may be useful to predict Internet path performance.
Keywords :
Internet; data mining; performance evaluation; IBM Intelligent Miner; Internet path performance; data mining; decision tree classification mining; end-users; neural clustering; traceroute packet probing technique; Control systems; Data analysis; Data engineering; Data mining; Delay; IP networks; Internet; Performance analysis; Performance evaluation; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel, Distributed and Network-Based Processing, 2004. Proceedings. 12th Euromicro Conference on
ISSN :
1066-6192
Print_ISBN :
0-7695-2083-9
Type :
conf
DOI :
10.1109/EMPDP.2004.1271427
Filename :
1271427
Link To Document :
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