@article{Haciömeroglu_Devetsikiotis_2017, title={A Dynamic Time Scale Approach for On-line Measurement-Based Capacity Allocation}, volume={18}, url={https://jcis.sbrt.org.br/jcis/article/view/507}, DOI={10.14209/jcis.2003.30}, abstractNote={<span class="fontstyle0">Cunent high-speed networks handle a variety of services, requiring different QoS constraints. The choice of appropriately accurate but also </span><span class="fontstyle2">practically implementable </span><span class="fontstyle0">measurement algmithms in this context becomes crucial. In<br />this paper, we perform a comparative study of alternative on-line bandwidth allocation algorithms, we analyze their complexity, and </span><span class="fontstyle0">petf01m </span><span class="fontstyle0">comparisons via simulation experiments. Moreover, we argue the relevance of a dynamic measurement time scale approach and demonstrate the effectiveness of this new approach over the static one. 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 </span><span class="fontstyle2">on-line </span><span class="fontstyle0">fashion. Previously, no such comprehensive comparison of relevant methods has been carried out, especially from a combined accuracy versus implementation complexity point of view and from the perspective of changing the measurement<br />time scale "dynamically".</span>}, number={2}, journal={Journal of Communication and Information Systems}, author={Haciömeroglu, Fatih and Devetsikiotis, Michael}, year={2017}, month={Nov.} }