Communication Networks and Services Research, Annual Conference on (2006)
Moncton, New Brunswick, Canada
May 24, 2006 to May 25, 2006
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CNSR.2006.54
Z. Liu , University of Moncton, Canada
J. Almhana , University of Moncton, Canada
V. Choulakian , University of Moncton, Canada
R. McGorman , Lodex International Consulting, Canada
Dynamic bandwidth provisioning for data service is an efJicient way to optimize network resource utilization. For the purpose of dynamical bandwidth provisioning, we need a model that can capture online the trafJic characteristics and facilitate mathematical analysis. A mixture of Gamma distributions can approximate any distribution with nonnegative support as closely as desired. It can not only characterizejield data well, but also facilitate analytically tractable results forpedormance evaluation. This paper uses a Gamma mixture to model Znternet trafJic and proposes an online algorithm to fit the model to actual Internet trafJic. The jitted model is applied to provision bandwidth dynamically, and many simulation and experimental results are also provided.
Gamma Mixture distribution, EM algorithm, Internet trajfic, stochastic approximation.
Z. Liu, R. McGorman, J. Almhana and V. Choulakian, "Traffic Modeling with Gamma Mixtures and Dynamical Bandwidth Provisioning," 2006 Communication Networks and Services Research Conference(CNSR), Moncton, NB, 2006, pp. 123-130.