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

fYear

2011

fDate

March 30 2011-April 1 2011

Firstpage

488

Lastpage

491

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/UKSIM.2011.99

Filename

5754305