Title :
Visual Feature Extraction for Classification of Packet-Sequence Dispersion Signatures and Identification of Bottleneck Parameters
Author :
Tunnicliffe, Martin J. ; Hosseinpour, Mehri
Author_Institution :
Fac. of Comput., Inf. Syst. & Math., Kingston Univ., Kingston upon Thames, UK
fDate :
March 30 2011-April 1 2011
Abstract :
As an alternative to pdf approximation methods to identify modes within the dispersion data of a packet-pair network probing experiment, the classical Hough transform is used to identify straight lines within the output vs. input dispersion plot. These lines can then be mapped to the independence, rate, and distribution signatures of the different links within that path.
Keywords :
Hough transforms; digital signatures; feature extraction; packet switching; pattern classification; telecommunication computing; bottleneck parameters; classical Hough transform; distribution signatures; packet-pair network probing experiment; packet-sequence dispersion signature classification; pdf approximation methods; straight line identification; visual feature extraction; Arrays; Bandwidth; Computational modeling; Dispersion; Feature extraction; Transforms; Visualization; Bandwidth Probing; Queuing Networks; Visual Feature Extraction;
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2011 UkSim 13th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-61284-705-4
Electronic_ISBN :
978-0-7695-4376-5
DOI :
10.1109/UKSIM.2011.99
