A Dynamic Time Scale Approach for On-line Measurement-Based Capacity Allocation
DOI:
https://doi.org/10.14209/jcis.2003.30Keywords:
On-line measurements, bandwidth allocation, effective bandwidthAbstract
Cunent high-speed networks handle a variety of services, requiring different QoS constraints. The choice of appropriately accurate but also practically implementable measurement algmithms in this context becomes crucial. Inthis paper, we perform a comparative study of alternative on-line bandwidth allocation algorithms, we analyze their complexity, and petf01m 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 on-line 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
time scale "dynamically".
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Published
2017-11-14
How to Cite
Haciömeroglu, F., & Devetsikiotis, M. (2017). A Dynamic Time Scale Approach for On-line Measurement-Based Capacity Allocation. Journal of Communication and Information Systems, 18(2). https://doi.org/10.14209/jcis.2003.30
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Section
Regular Papers
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Received 2017-11-07
Accepted 2017-11-13
Published 2017-11-14
Accepted 2017-11-13
Published 2017-11-14