A Dynamic Time Scale Approach for On-line Measurement-Based Capacity Allocation

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Published: Nov 14, 2017
DOI: https://doi.org/10.14209/jcis.2003.30
Keywords:
On-line measurements, bandwidth allocation, effective bandwidth

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Fatih Haciömeroglu
Department of Electrical and Computer Engineering, North Carolina State University, Raleigh
Michael Devetsikiotis

Abstract

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. In
this 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".

Article Details

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
Issue
Vol. 18 No. 2 (2003)
Section
Regular Papers

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Author Biographies

Fatih Haciömeroglu, Department of Electrical and Computer Engineering, North Carolina State University, Raleigh

Fatih Haciömeroglu received his B.S. degree
in electrical and electronics engineering from the Middle East Technical University, Turkey, and his M.Sc. degree in electrical and computer engineering from the North Carolina State University in 2000
and 2003, respectively. His acceptance to the Ph.D. program in the Institut National Des Télécommunications, France is pending. His
research interests include dynamic measurement and resource allocation in high speed networks.

Michael Devetsikiotis

Michael Devetsikiotis (S 1985, M 1994, SM 2003) was born in Thessaloniki, Greece, in 1964. He received the Diploma degree in Electrical Engineering from the Aristotle University of Thessaloniki, Thessaloniki, Greece, in 1988, and the M.Sc. and Ph.D. degrees in Electrical Engineering from North Carolina State University, Raleigh, in 1990 and 1993, respectively. In October 1993 he joined the Broadband Networks Laboratory at Carleton University, Onawa. Canada, as a Research Associate. He became an Adjunct Professor tl1e Systems and Computer Engineeling Department, Carleton University, in 1995, an Assistant Professor in 1996 and an Associate Professor in 1998. Since November 2000 he has been with the Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, as an Associate Professor. His
research work has been in the areas of telecommunication systems modeling, performance evaluation, and efficient simulation: traffic characterization and management: and optimization techniques applied to the analysis and design of communication systems. His present focus is on the performance and nonlinear behavior of communication networks as they become larger in size, and more complex in topology and traffic. He currently serves as the chairman of the IEEE Communication Society committee on communication systems integration and modeling (CSIM), as an Associate Editor for the ACM Transactions on Modeling and Computer Simulation
(TOMACS), and as an Associate Editor for the IEEE Communications Letters.