On-line Measurement-based Capacity Allocation Schemes

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dc.contributor.advisor Dr. Michael Devetsikiotis, Committee Chair en_US
dc.contributor.advisor Dr. J. Keith Townsend, Committee Member en_US
dc.contributor.advisor Dr. George N. Rouskas, Committee Member en_US
dc.contributor.author Haciomeroglu, Fatih en_US
dc.date.accessioned 2010-04-02T18:09:57Z
dc.date.available 2010-04-02T18:09:57Z
dc.date.issued 2003-06-30 en_US
dc.identifier.other etd-03262003-223315 en_US
dc.identifier.uri http://www.lib.ncsu.edu/resolver/1840.16/2059
dc.description.abstract Today's high-speed packet-switched networks are faced with the task of handling an increasing amount and variety of services, requiring different QoS constraints. To cope with this demand, the networks need dynamic and measurement-based resource allocation algorithms. For this task, the choice of appropriately accurate but also "practically implementable" algorithms is crucial. In this thesis, we perform a comparative study of alternative on-line algorithms, we analyze their complexity, and perform comparisons via simulation experiments. Our motivation is to use these algorithms in the data plane of "self-sizing" frameworks, and make use of their output in taking control plane decisions either locally or globally, in an "on-line" fashion. Due to the dynamic characteristics of the algorithms, we encounter the choice of time resolution, namely the setting of measurement time scale and window. After numerous simulations, we gain insight on the critical effect of these choices on the performance of the algorithms. We deduce that the time scale parameter itself is to be determined "dynamically" so that measurement-based algorithms can perform successfully independent from the varying traffic conditions. Finally, we demonstrate the effectiveness of this new approach over the static one, in our measurement-based capacity allocation algorithms. 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 dynamic en_US
dc.subject effective bandwidth en_US
dc.subject time scale en_US
dc.title On-line Measurement-based Capacity Allocation Schemes 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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