Title page for ETD etd-03262003-223315

Type of Document

Master's Thesis

Author

Haciomeroglu, Fatih ,

Author's Email Address

fatih61@ieee.org

URN

etd-03262003-223315

Title

On-line Measurement-based Capacity Allocation Schemes

Degree

Master of Science

Graduate Program

Electrical Engineering

Advisory Committee

Advisor Name	Title
Dr. Michael Devetsikiotis	Committee Chair
Dr. George N. Rouskas	Committee Member
Dr. J. Keith Townsend	Committee Member

Keywords

dynamic
effective bandwidth
time scale

Date of Defense

2003-03-26

Availability

unrestricted

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.

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