Classification and Modeling of Internet Applications

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dc.contributor.advisor Dr. H. Joel Trussell, Committee Member en_US
dc.contributor.advisor Mo-Yuen Chow, Committee Member en_US
dc.contributor.advisor Dr. Arne A Nilsson, Committee Chair en_US
dc.contributor.author Patel, Parita en_US
dc.date.accessioned 2010-04-02T18:00:01Z
dc.date.available 2010-04-02T18:00:01Z
dc.date.issued 2004-02-26 en_US
dc.identifier.other etd-11122003-221659 en_US
dc.identifier.uri http://www.lib.ncsu.edu/resolver/1840.16/1009
dc.description.abstract The classification of Internet traffic is an active research topic due to its applicability in the areas like differentiated services and network security. The introduction of voice, video and other real-time applications to the Internet has resulted in increasing demand for service differentiation and has triggered the need for change in traffic handling on the Internet. Traditionally, such a classification is done using the packet header field of 'port number,' which is a unique number associated with the application that generated the packet. In addition to adding complexity and extra computation in traffic handling, certain recent developments in networking techniques have rendered port numbers unreliable for this purpose. This motivates our scheme of classification that uses the distribution of packet sizes in a buffer or collected during a short time interval at a switch or a router. We demonstrate that the applications can be classified by these distributions. This 'implicit' classification builds a foundation for estimation and prediction of traffic mix, which is a long-term goal of this research project. en_US
dc.rights I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. en_US
dc.subject modeling en_US
dc.subject clustering en_US
dc.subject classification en_US
dc.subject network traffic en_US
dc.title Classification and Modeling of Internet Applications en_US
dc.degree.name MS en_US
dc.degree.level thesis en_US
dc.degree.discipline Electrical Engineering en_US


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